SportsCamp – Football Predictions

AFC Bournemouth vs Crystal Palace

📅 Sun 03 May, 09:00

HOME WIN

MODERATE

⚽ HOME WIN 48.7% (H:48.7 D:13 A:38.2) ⛔ AVOID

⚽ BTTS: YES 74% (Y:74 N:26) STRONG

📈 OVER 2.5 77.3% xG:4.08 (O:77.3 U:22.7) STRONG

🚩 OVER 9.5 64.9% exp:10.9 (O:64.9 U:35.1) MEDIUM

xG 2.4 – 1.68 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (77.3% → STRONG) BTTS: YES (74.0% → STRONG) Corners: OVER 9.5 (64.9% → MEDIUM)

⌂ AFC Bournemouth: 10 home matches only (W2/D7/L1), avg 1.5 scored, 4.5 SOT, 6.3 corners ✈ Crystal Palace: 10 away matches only (W4/D1/L5), avg 1.2 scored, 3.5 SOT, 4.6 corners

1Step 1: Dataset Collection

AFC Bournemouth dataset: 10 home matches only Crystal Palace dataset: 10 away matches only Min required: 3 per team

2Step 2: AFC Bournemouth Statistics (dataset: home matches only)

3Step 3: Crystal Palace Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

AFC Bournemouth Win Strength = (home_win_rate 0.200 + away_loss_rate 0.500) / 2 = 0.350 Crystal Palace Win Strength = (away_win_rate 0.400 + home_loss_rate 0.100) / 2 = 0.250

5Step 5: Goal Strength Factor

AFC Bournemouth Goal Strength = home_avg_scored 1.50 / (away_avg_conceded 1.60 + 0.01) = 0.932 Crystal Palace Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 1.40 + 0.01) = 0.851

6Step 6: Shot on Target Strength

AFC Bournemouth SOT Strength = 4.50 / (3.50 + 0.01) = 1.282 Crystal Palace SOT Strength = 3.50 / (4.50 + 0.01) = 0.776

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.582 Away=0.416 (sum=0.998) Goal: Home=0.522 Away=0.477 (sum=0.999) Shot: Home=0.623 Away=0.377 (sum=1.000) Form: Home=0.499 Away=0.499 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

AFC Bournemouth Score = (0.582 × 0.35) + (0.522 × 0.30) + (0.623 × 0.20) + (0.499 × 0.15) = 0.5600 Crystal Palace Score = (0.416 × 0.35) + (0.477 × 0.30) + (0.377 × 0.20) + (0.499 × 0.15) = 0.4390

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5600 | Away Score: 0.4390 | Diff: 0.1209 Normalized: Home=48.7% | Away=38.2% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 48.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.50 × away_avg_conceded 1.60 = 2.40 Away xG = away_avg_scored 1.20 × home_avg_conceded 1.40 = 1.68 Total xG = 2.40 + 1.68 = 4.08

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.08 P(Over 2.5) = 1 - PoissonCDF(2, 4.08) = 77.3% P(Under 2.5) = 22.7% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 77.3% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.40) = 0.909 P(Away Scores) = 1 - exp(-1.68) = 0.814 BTTS YES = 0.909 × 0.814 × 100 = 74.0% BTTS NO = 26.0% Result: BTTS YES (confidence: 74.0% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.30 + away_avg 4.60 = 10.90 P(Over 9.5) = 1 - PoissonCDF(9, 10.90) = 64.9% P(Under 9.5) = 35.1% Result: OVER 9.5 (confidence: 64.9% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 48.7% | Draw: 13.0% | Away: 38.2% Prediction: HOME WIN → AVOID (48.7%) [AVOID] OVER/UNDER 2.5: Over: 77.3% | Under: 22.7% Prediction: OVER 2.5 → STRONG (77.3%) BTTS: Yes: 74.0% | No: 26.0% Prediction: YES → STRONG (74.0%) CORNERS: Over 9.5: 64.9% | Under 9.5: 35.1% Prediction: OVER 9.5 → MEDIUM (64.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (77.3% → STRONG) | BTTS: YES (74.0% → STRONG) | Corners: OVER 9.5 (64.9% → MEDIUM) Betslip Mark: HIGH

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Manchester United vs Liverpool

📅 Sun 03 May, 10:30

HOME WIN

STRONG

⚽ HOME WIN 56% (H:56 D:13 A:30.9) WEAK

⚽ BTTS: YES 77.1% (Y:77.1 N:22.9) STRONG

📈 OVER 2.5 85.1% xG:4.73 (O:85.1 U:14.9) STRONG

🚩 OVER 9.5 84.1% exp:13.1 (O:84.1 U:15.9) STRONG

xG 3.08 – 1.65 HIGH

✅ BETTING OPPORTUNITY

Result: HOME WIN (56.0% → WEAK) Goals: OVER 2.5 (85.1% → STRONG) BTTS: YES (77.1% → STRONG) Corners: OVER 9.5 (84.1% → STRONG)

⌂ Manchester United: 10 home matches only (W8/D1/L1), avg 2.2 scored, 7.2 SOT, 6.4 corners ✈ Liverpool: 10 away matches only (W4/D3/L3), avg 1.5 scored, 4.2 SOT, 6.7 corners

1Step 1: Dataset Collection

Manchester United dataset: 10 home matches only Liverpool dataset: 10 away matches only Min required: 3 per team

2Step 2: Manchester United Statistics (dataset: home matches only)

3Step 3: Liverpool Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Manchester United Win Strength = (home_win_rate 0.800 + away_loss_rate 0.300) / 2 = 0.550 Liverpool Win Strength = (away_win_rate 0.400 + home_loss_rate 0.100) / 2 = 0.250

5Step 5: Goal Strength Factor

Manchester United Goal Strength = home_avg_scored 2.20 / (away_avg_conceded 1.40 + 0.01) = 1.560 Liverpool Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 1.10 + 0.01) = 1.351

6Step 6: Shot on Target Strength

Manchester United SOT Strength = 7.20 / (4.20 + 0.01) = 1.710 Liverpool SOT Strength = 4.20 / (7.20 + 0.01) = 0.583

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.687 Away=0.312 (sum=0.999) Goal: Home=0.536 Away=0.464 (sum=1.000) Shot: Home=0.746 Away=0.254 (sum=1.000) Form: Home=0.625 Away=0.375 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Manchester United Score = (0.687 × 0.35) + (0.536 × 0.30) + (0.746 × 0.20) + (0.625 × 0.15) = 0.6438 Liverpool Score = (0.312 × 0.35) + (0.464 × 0.30) + (0.254 × 0.20) + (0.375 × 0.15) = 0.3554

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6438 | Away Score: 0.3554 | Diff: 0.2884 Normalized: Home=56.0% | Away=30.9% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 56.0% → WEAK)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.20 × away_avg_conceded 1.40 = 3.08 Away xG = away_avg_scored 1.50 × home_avg_conceded 1.10 = 1.65 Total xG = 3.08 + 1.65 = 4.73

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.73 P(Over 2.5) = 1 - PoissonCDF(2, 4.73) = 85.1% P(Under 2.5) = 14.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 85.1% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.08) = 0.954 P(Away Scores) = 1 - exp(-1.65) = 0.808 BTTS YES = 0.954 × 0.808 × 100 = 77.1% BTTS NO = 22.9% Result: BTTS YES (confidence: 77.1% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.40 + away_avg 6.70 = 13.10 P(Over 9.5) = 1 - PoissonCDF(9, 13.10) = 84.1% P(Under 9.5) = 15.9% Result: OVER 9.5 (confidence: 84.1% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 56.0% | Draw: 13.0% | Away: 30.9% Prediction: HOME WIN → WEAK (56.0%) OVER/UNDER 2.5: Over: 85.1% | Under: 14.9% Prediction: OVER 2.5 → STRONG (85.1%) BTTS: Yes: 77.1% | No: 22.9% Prediction: YES → STRONG (77.1%) CORNERS: Over 9.5: 84.1% | Under 9.5: 15.9% Prediction: OVER 9.5 → STRONG (84.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: HOME WIN (56.0% → WEAK) | Goals: OVER 2.5 (85.1% → STRONG) | BTTS: YES (77.1% → STRONG) | Corners: OVER 9.5 (84.1% → STRONG) Betslip Mark: HIGH

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Aston Villa vs Tottenham Hotspur

📅 Sun 03 May, 14:00

HOME WIN

STRONG

⚽ HOME WIN 56.6% (H:56.6 D:13 A:30.3) ⛔ AVOID

⚽ BTTS: NO 42.2% (Y:57.8 N:42.2) ⛔ AVOID

📈 OVER 2.5 63.7% xG:3.28 (O:63.7 U:36.3) MEDIUM

🚩 UNDER 9.5 50.9% exp:9.6 (O:49.1 U:50.9) ⛔ AVOID

xG 2.24 – 1.04 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (63.7% → MEDIUM)

⌂ Aston Villa: 10 home matches only (W6/D1/L3), avg 1.6 scored, 4.7 SOT, 5.7 corners ✈ Tottenham Hotspur: 10 away matches only (W2/D3/L5), avg 0.8 scored, 4.1 SOT, 3.9 corners

1Step 1: Dataset Collection

Aston Villa dataset: 10 home matches only Tottenham Hotspur dataset: 10 away matches only Min required: 3 per team

2Step 2: Aston Villa Statistics (dataset: home matches only)

3Step 3: Tottenham Hotspur Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Aston Villa Win Strength = (home_win_rate 0.600 + away_loss_rate 0.500) / 2 = 0.550 Tottenham Hotspur Win Strength = (away_win_rate 0.200 + home_loss_rate 0.300) / 2 = 0.250

5Step 5: Goal Strength Factor

Aston Villa Goal Strength = home_avg_scored 1.60 / (away_avg_conceded 1.40 + 0.01) = 1.135 Tottenham Hotspur Goal Strength = away_avg_scored 0.80 / (home_avg_conceded 1.30 + 0.01) = 0.611

6Step 6: Shot on Target Strength

Aston Villa SOT Strength = 4.70 / (4.10 + 0.01) = 1.144 Tottenham Hotspur SOT Strength = 4.10 / (4.70 + 0.01) = 0.870

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.687 Away=0.312 (sum=0.999) Goal: Home=0.650 Away=0.350 (sum=0.999) Shot: Home=0.568 Away=0.432 (sum=1.000) Form: Home=0.678 Away=0.321 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Aston Villa Score = (0.687 × 0.35) + (0.650 × 0.30) + (0.568 × 0.20) + (0.678 × 0.15) = 0.6504 Tottenham Hotspur Score = (0.312 × 0.35) + (0.350 × 0.30) + (0.432 × 0.20) + (0.321 × 0.15) = 0.3487

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6504 | Away Score: 0.3487 | Diff: 0.3017 Normalized: Home=56.6% | Away=30.3% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 56.6% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.60 × away_avg_conceded 1.40 = 2.24 Away xG = away_avg_scored 0.80 × home_avg_conceded 1.30 = 1.04 Total xG = 2.24 + 1.04 = 3.28

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.28 P(Over 2.5) = 1 - PoissonCDF(2, 3.28) = 63.7% P(Under 2.5) = 36.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 63.7% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.24) = 0.894 P(Away Scores) = 1 - exp(-1.04) = 0.647 BTTS YES = 0.894 × 0.647 × 100 = 57.8% BTTS NO = 42.2% Result: BTTS NO (confidence: 42.2% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.70 + away_avg 3.90 = 9.60 P(Over 9.5) = 1 - PoissonCDF(9, 9.60) = 49.1% P(Under 9.5) = 50.9% Result: UNDER 9.5 (confidence: 50.9% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 56.6% | Draw: 13.0% | Away: 30.3% Prediction: HOME WIN → AVOID (56.6%) [AVOID] OVER/UNDER 2.5: Over: 63.7% | Under: 36.3% Prediction: OVER 2.5 → MEDIUM (63.7%) BTTS: Yes: 57.8% | No: 42.2% Prediction: NO → AVOID (42.2%) [AVOID] CORNERS: Over 9.5: 49.1% | Under 9.5: 50.9% Prediction: UNDER 9.5 → AVOID (50.9%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (63.7% → MEDIUM) Betslip Mark: MEDIUM

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Chelsea vs Nottingham Forest

📅 Mon 04 May, 10:00

AWAY WIN

MODERATE

⚽ AWAY WIN 48.1% (H:38.8 D:13 A:48.1) ⛔ AVOID

⚽ BTTS: YES 77.8% (Y:77.8 N:22.2) STRONG

📈 OVER 2.5 80.6% xG:4.33 (O:80.6 U:19.4) STRONG

🚩 OVER 9.5 68.1% exp:11.2 (O:68.1 U:31.9) STRONG

xG 1.95 – 2.38 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (80.6% → STRONG) BTTS: YES (77.8% → STRONG) Corners: OVER 9.5 (68.1% → STRONG)

⌂ Chelsea: 10 home matches only (W3/D3/L4), avg 1.3 scored, 3.4 SOT, 6.6 corners ✈ Nottingham Forest: 10 away matches only (W4/D1/L5), avg 1.7 scored, 4.4 SOT, 4.6 corners

1Step 1: Dataset Collection

Chelsea dataset: 10 home matches only Nottingham Forest dataset: 10 away matches only Min required: 3 per team

2Step 2: Chelsea Statistics (dataset: home matches only)

3Step 3: Nottingham Forest Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Chelsea Win Strength = (home_win_rate 0.300 + away_loss_rate 0.500) / 2 = 0.400 Nottingham Forest Win Strength = (away_win_rate 0.400 + home_loss_rate 0.400) / 2 = 0.400

5Step 5: Goal Strength Factor

Chelsea Goal Strength = home_avg_scored 1.30 / (away_avg_conceded 1.50 + 0.01) = 0.861 Nottingham Forest Goal Strength = away_avg_scored 1.70 / (home_avg_conceded 1.40 + 0.01) = 1.206

6Step 6: Shot on Target Strength

Chelsea SOT Strength = 3.40 / (4.40 + 0.01) = 0.771 Nottingham Forest SOT Strength = 4.40 / (3.40 + 0.01) = 1.290

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.499 Away=0.499 (sum=0.999) Goal: Home=0.416 Away=0.583 (sum=1.000) Shot: Home=0.374 Away=0.626 (sum=1.000) Form: Home=0.479 Away=0.519 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Chelsea Score = (0.499 × 0.35) + (0.416 × 0.30) + (0.374 × 0.20) + (0.479 × 0.15) = 0.4464 Nottingham Forest Score = (0.499 × 0.35) + (0.583 × 0.30) + (0.626 × 0.20) + (0.519 × 0.15) = 0.5528

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4464 | Away Score: 0.5528 | Diff: 0.1064 Normalized: Home=38.8% | Away=48.1% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 48.1% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.30 × away_avg_conceded 1.50 = 1.95 Away xG = away_avg_scored 1.70 × home_avg_conceded 1.40 = 2.38 Total xG = 1.95 + 2.38 = 4.33

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.33 P(Over 2.5) = 1 - PoissonCDF(2, 4.33) = 80.6% P(Under 2.5) = 19.4% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 80.6% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.95) = 0.858 P(Away Scores) = 1 - exp(-2.38) = 0.907 BTTS YES = 0.858 × 0.907 × 100 = 77.8% BTTS NO = 22.2% Result: BTTS YES (confidence: 77.8% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.60 + away_avg 4.60 = 11.20 P(Over 9.5) = 1 - PoissonCDF(9, 11.20) = 68.1% P(Under 9.5) = 31.9% Result: OVER 9.5 (confidence: 68.1% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 38.8% | Draw: 13.0% | Away: 48.1% Prediction: AWAY WIN → AVOID (48.1%) [AVOID] OVER/UNDER 2.5: Over: 80.6% | Under: 19.4% Prediction: OVER 2.5 → STRONG (80.6%) BTTS: Yes: 77.8% | No: 22.2% Prediction: YES → STRONG (77.8%) CORNERS: Over 9.5: 68.1% | Under 9.5: 31.9% Prediction: OVER 9.5 → STRONG (68.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (80.6% → STRONG) | BTTS: YES (77.8% → STRONG) | Corners: OVER 9.5 (68.1% → STRONG) Betslip Mark: HIGH

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Everton vs Manchester United

📅 Mon 04 May, 15:00

AWAY WIN

MODERATE

⚽ AWAY WIN 50.5% (H:36.5 D:13 A:50.5) ⛔ AVOID

⚽ BTTS: NO 49.2% (Y:50.8 N:49.2) ⛔ AVOID

📈 UNDER 2.5 50.3% xG:2.66 (O:49.7 U:50.3) ⛔ AVOID

🚩 OVER 9.5 62.6% exp:10.7 (O:62.6 U:37.4) MEDIUM

xG 0.98 – 1.68 MEDIUM

✅ BETTING OPPORTUNITY

Corners: OVER 9.5 (62.6% → MEDIUM)

⌂ Everton: 10 home matches only (W3/D2/L5), avg 1.4 scored, 4.5 SOT, 4.5 corners ✈ Manchester United: 10 away matches only (W6/D3/L1), avg 1.4 scored, 5.2 SOT, 6.2 corners

1Step 1: Dataset Collection

Everton dataset: 10 home matches only Manchester United dataset: 10 away matches only Min required: 3 per team

2Step 2: Everton Statistics (dataset: home matches only)

3Step 3: Manchester United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Everton Win Strength = (home_win_rate 0.300 + away_loss_rate 0.100) / 2 = 0.200 Manchester United Win Strength = (away_win_rate 0.600 + home_loss_rate 0.500) / 2 = 0.550

5Step 5: Goal Strength Factor

Everton Goal Strength = home_avg_scored 1.40 / (away_avg_conceded 0.70 + 0.01) = 1.972 Manchester United Goal Strength = away_avg_scored 1.40 / (home_avg_conceded 1.20 + 0.01) = 1.157

6Step 6: Shot on Target Strength

Everton SOT Strength = 4.50 / (5.20 + 0.01) = 0.864 Manchester United SOT Strength = 5.20 / (4.50 + 0.01) = 1.153

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.266 Away=0.732 (sum=0.999) Goal: Home=0.630 Away=0.370 (sum=1.000) Shot: Home=0.428 Away=0.571 (sum=1.000) Form: Home=0.343 Away=0.656 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Everton Score = (0.266 × 0.35) + (0.630 × 0.30) + (0.428 × 0.20) + (0.343 × 0.15) = 0.4193 Manchester United Score = (0.732 × 0.35) + (0.370 × 0.30) + (0.571 × 0.20) + (0.656 × 0.15) = 0.5799

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4193 | Away Score: 0.5799 | Diff: 0.1605 Normalized: Home=36.5% | Away=50.5% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 50.5% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.40 × away_avg_conceded 0.70 = 0.98 Away xG = away_avg_scored 1.40 × home_avg_conceded 1.20 = 1.68 Total xG = 0.98 + 1.68 = 2.66

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.66 P(Over 2.5) = 1 - PoissonCDF(2, 2.66) = 49.7% P(Under 2.5) = 50.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 50.3% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-0.98) = 0.625 P(Away Scores) = 1 - exp(-1.68) = 0.814 BTTS YES = 0.625 × 0.814 × 100 = 50.8% BTTS NO = 49.2% Result: BTTS NO (confidence: 49.2% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.50 + away_avg 6.20 = 10.70 P(Over 9.5) = 1 - PoissonCDF(9, 10.70) = 62.6% P(Under 9.5) = 37.4% Result: OVER 9.5 (confidence: 62.6% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 36.5% | Draw: 13.0% | Away: 50.5% Prediction: AWAY WIN → AVOID (50.5%) [AVOID] OVER/UNDER 2.5: Over: 49.7% | Under: 50.3% Prediction: UNDER 2.5 → AVOID (50.3%) [AVOID] BTTS: Yes: 50.8% | No: 49.2% Prediction: NO → AVOID (49.2%) [AVOID] CORNERS: Over 9.5: 62.6% | Under 9.5: 37.4% Prediction: OVER 9.5 → MEDIUM (62.6%) VERDICT: BETTING OPPORTUNITY Active Markets: Corners: OVER 9.5 (62.6% → MEDIUM) Betslip Mark: MEDIUM

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Liverpool vs Chelsea

📅 Sat 09 May, 07:30

HOME WIN

MODERATE

⚽ HOME WIN 51.9% (H:51.9 D:13 A:35.1) ⛔ AVOID

⚽ BTTS: YES 71.5% (Y:71.5 N:28.5) STRONG

📈 OVER 2.5 84.9% xG:4.71 (O:84.9 U:15.1) STRONG

🚩 OVER 9.5 74.9% exp:11.9 (O:74.9 U:25.1) STRONG

xG 3.36 – 1.35 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (84.9% → STRONG) BTTS: YES (71.5% → STRONG) Corners: OVER 9.5 (74.9% → STRONG)

⌂ Liverpool: 10 home matches only (W6/D3/L1), avg 2.1 scored, 5.3 SOT, 6.1 corners ✈ Chelsea: 10 away matches only (W3/D3/L4), avg 1.5 scored, 4.4 SOT, 5.8 corners

1Step 1: Dataset Collection

Liverpool dataset: 10 home matches only Chelsea dataset: 10 away matches only Min required: 3 per team

2Step 2: Liverpool Statistics (dataset: home matches only)

3Step 3: Chelsea Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Liverpool Win Strength = (home_win_rate 0.600 + away_loss_rate 0.400) / 2 = 0.500 Chelsea Win Strength = (away_win_rate 0.300 + home_loss_rate 0.100) / 2 = 0.200

5Step 5: Goal Strength Factor

Liverpool Goal Strength = home_avg_scored 2.10 / (away_avg_conceded 1.60 + 0.01) = 1.304 Chelsea Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 0.90 + 0.01) = 1.648

6Step 6: Shot on Target Strength

Liverpool SOT Strength = 5.30 / (4.40 + 0.01) = 1.202 Chelsea SOT Strength = 4.40 / (5.30 + 0.01) = 0.829

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.713 Away=0.285 (sum=0.999) Goal: Home=0.442 Away=0.558 (sum=1.000) Shot: Home=0.592 Away=0.408 (sum=1.000) Form: Home=0.636 Away=0.363 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Liverpool Score = (0.713 × 0.35) + (0.442 × 0.30) + (0.592 × 0.20) + (0.636 × 0.15) = 0.5958 Chelsea Score = (0.285 × 0.35) + (0.558 × 0.30) + (0.408 × 0.20) + (0.363 × 0.15) = 0.4034

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5958 | Away Score: 0.4034 | Diff: 0.1925 Normalized: Home=51.9% | Away=35.1% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 51.9% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.10 × away_avg_conceded 1.60 = 3.36 Away xG = away_avg_scored 1.50 × home_avg_conceded 0.90 = 1.35 Total xG = 3.36 + 1.35 = 4.71

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.71 P(Over 2.5) = 1 - PoissonCDF(2, 4.71) = 84.9% P(Under 2.5) = 15.1% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 84.9% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.36) = 0.965 P(Away Scores) = 1 - exp(-1.35) = 0.741 BTTS YES = 0.965 × 0.741 × 100 = 71.5% BTTS NO = 28.5% Result: BTTS YES (confidence: 71.5% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.10 + away_avg 5.80 = 11.90 P(Over 9.5) = 1 - PoissonCDF(9, 11.90) = 74.9% P(Under 9.5) = 25.1% Result: OVER 9.5 (confidence: 74.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 51.9% | Draw: 13.0% | Away: 35.1% Prediction: HOME WIN → AVOID (51.9%) [AVOID] OVER/UNDER 2.5: Over: 84.9% | Under: 15.1% Prediction: OVER 2.5 → STRONG (84.9%) BTTS: Yes: 71.5% | No: 28.5% Prediction: YES → STRONG (71.5%) CORNERS: Over 9.5: 74.9% | Under 9.5: 25.1% Prediction: OVER 9.5 → STRONG (74.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (84.9% → STRONG) | BTTS: YES (71.5% → STRONG) | Corners: OVER 9.5 (74.9% → STRONG) Betslip Mark: HIGH

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Brighton & Hove Albion vs Wolverhampton Wanderers

📅 Sat 09 May, 10:00

HOME WIN

STRONG

⚽ HOME WIN 58.7% (H:58.7 D:13 A:28.3) ⛔ AVOID

⚽ BTTS: NO 69.7% (Y:30.3 N:69.7) ⛔ AVOID

📈 UNDER 2.5 52.3% xG:2.58 (O:47.7 U:52.3) ⛔ AVOID

🚩 UNDER 9.5 54.8% exp:9.3 (O:45.2 U:54.8) ⛔ AVOID

xG 2.16 – 0.42 AVOID

⛔ NO BET MATCH

⌂ Brighton & Hove Albion: 10 home matches only (W4/D4/L2), avg 1.2 scored, 4.7 SOT, 5.4 corners ✈ Wolverhampton Wanderers: 10 away matches only (W0/D4/L6), avg 0.6 scored, 3.4 SOT, 3.9 corners

1Step 1: Dataset Collection

Brighton & Hove Albion dataset: 10 home matches only Wolverhampton Wanderers dataset: 10 away matches only Min required: 3 per team

2Step 2: Brighton & Hove Albion Statistics (dataset: home matches only)

3Step 3: Wolverhampton Wanderers Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Brighton & Hove Albion Win Strength = (home_win_rate 0.400 + away_loss_rate 0.600) / 2 = 0.500 Wolverhampton Wanderers Win Strength = (away_win_rate 0.000 + home_loss_rate 0.200) / 2 = 0.100

5Step 5: Goal Strength Factor

Brighton & Hove Albion Goal Strength = home_avg_scored 1.20 / (away_avg_conceded 1.80 + 0.01) = 0.663 Wolverhampton Wanderers Goal Strength = away_avg_scored 0.60 / (home_avg_conceded 0.70 + 0.01) = 0.845

6Step 6: Shot on Target Strength

Brighton & Hove Albion SOT Strength = 4.70 / (3.40 + 0.01) = 1.378 Wolverhampton Wanderers SOT Strength = 3.40 / (4.70 + 0.01) = 0.722

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.832 Away=0.166 (sum=0.998) Goal: Home=0.439 Away=0.560 (sum=0.999) Shot: Home=0.656 Away=0.344 (sum=1.000) Form: Home=0.799 Away=0.200 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Brighton & Hove Albion Score = (0.832 × 0.35) + (0.439 × 0.30) + (0.656 × 0.20) + (0.799 × 0.15) = 0.6740 Wolverhampton Wanderers Score = (0.166 × 0.35) + (0.560 × 0.30) + (0.344 × 0.20) + (0.200 × 0.15) = 0.3249

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6740 | Away Score: 0.3249 | Diff: 0.3491 Normalized: Home=58.7% | Away=28.3% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 58.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.20 × away_avg_conceded 1.80 = 2.16 Away xG = away_avg_scored 0.60 × home_avg_conceded 0.70 = 0.42 Total xG = 2.16 + 0.42 = 2.58

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.58 P(Over 2.5) = 1 - PoissonCDF(2, 2.58) = 47.7% P(Under 2.5) = 52.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 52.3% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.16) = 0.885 P(Away Scores) = 1 - exp(-0.42) = 0.343 BTTS YES = 0.885 × 0.343 × 100 = 30.3% BTTS NO = 69.7% Result: BTTS NO (confidence: 69.7% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.40 + away_avg 3.90 = 9.30 P(Over 9.5) = 1 - PoissonCDF(9, 9.30) = 45.2% P(Under 9.5) = 54.8% Result: UNDER 9.5 (confidence: 54.8% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 58.7% | Draw: 13.0% | Away: 28.3% Prediction: HOME WIN → AVOID (58.7%) [AVOID] OVER/UNDER 2.5: Over: 47.7% | Under: 52.3% Prediction: UNDER 2.5 → AVOID (52.3%) [AVOID] BTTS: Yes: 30.3% | No: 69.7% Prediction: NO → AVOID (69.7%) [AVOID] CORNERS: Over 9.5: 45.2% | Under 9.5: 54.8% Prediction: UNDER 9.5 → AVOID (54.8%) [AVOID] VERDICT: NO BET MATCH Active Markets: NONE Betslip Mark: AVOID

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Fulham vs AFC Bournemouth

📅 Sat 09 May, 10:00

DRAW

MODERATE

⚽ DRAW 13% (H:40.1 D:13 A:46.8) ⛔ AVOID

⚽ BTTS: YES 72.7% (Y:72.7 N:27.3) STRONG

📈 OVER 2.5 74.1% xG:3.86 (O:74.1 U:25.9) STRONG

🚩 OVER 9.5 50.4% exp:9.7 (O:50.4 U:49.6) ⛔ AVOID

xG 2.1 – 1.76 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (74.1% → STRONG) BTTS: YES (72.7% → STRONG)

⌂ Fulham: 10 home matches only (W6/D1/L3), avg 1.5 scored, 4 SOT, 4.4 corners ✈ AFC Bournemouth: 10 away matches only (W4/D5/L1), avg 1.6 scored, 4.9 SOT, 5.3 corners

1Step 1: Dataset Collection

Fulham dataset: 10 home matches only AFC Bournemouth dataset: 10 away matches only Min required: 3 per team

2Step 2: Fulham Statistics (dataset: home matches only)

3Step 3: AFC Bournemouth Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Fulham Win Strength = (home_win_rate 0.600 + away_loss_rate 0.100) / 2 = 0.350 AFC Bournemouth Win Strength = (away_win_rate 0.400 + home_loss_rate 0.300) / 2 = 0.350

5Step 5: Goal Strength Factor

Fulham Goal Strength = home_avg_scored 1.50 / (away_avg_conceded 1.40 + 0.01) = 1.064 AFC Bournemouth Goal Strength = away_avg_scored 1.60 / (home_avg_conceded 1.10 + 0.01) = 1.441

6Step 6: Shot on Target Strength

Fulham SOT Strength = 4.00 / (4.90 + 0.01) = 0.815 AFC Bournemouth SOT Strength = 4.90 / (4.00 + 0.01) = 1.222

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.499 Away=0.499 (sum=0.999) Goal: Home=0.424 Away=0.575 (sum=1.000) Shot: Home=0.400 Away=0.600 (sum=1.000) Form: Home=0.527 Away=0.472 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Fulham Score = (0.499 × 0.35) + (0.424 × 0.30) + (0.400 × 0.20) + (0.527 × 0.15) = 0.4611 AFC Bournemouth Score = (0.499 × 0.35) + (0.575 × 0.30) + (0.600 × 0.20) + (0.472 × 0.15) = 0.5380

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4611 | Away Score: 0.5380 | Diff: 0.0769 Normalized: Home=40.1% | Away=46.8% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.50 × away_avg_conceded 1.40 = 2.10 Away xG = away_avg_scored 1.60 × home_avg_conceded 1.10 = 1.76 Total xG = 2.10 + 1.76 = 3.86

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.86 P(Over 2.5) = 1 - PoissonCDF(2, 3.86) = 74.1% P(Under 2.5) = 25.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 74.1% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.10) = 0.878 P(Away Scores) = 1 - exp(-1.76) = 0.828 BTTS YES = 0.878 × 0.828 × 100 = 72.7% BTTS NO = 27.3% Result: BTTS YES (confidence: 72.7% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.40 + away_avg 5.30 = 9.70 P(Over 9.5) = 1 - PoissonCDF(9, 9.70) = 50.4% P(Under 9.5) = 49.6% Result: OVER 9.5 (confidence: 50.4% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 40.1% | Draw: 13.0% | Away: 46.8% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 74.1% | Under: 25.9% Prediction: OVER 2.5 → STRONG (74.1%) BTTS: Yes: 72.7% | No: 27.3% Prediction: YES → STRONG (72.7%) CORNERS: Over 9.5: 50.4% | Under 9.5: 49.6% Prediction: OVER 9.5 → AVOID (50.4%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (74.1% → STRONG) | BTTS: YES (72.7% → STRONG) Betslip Mark: HIGH

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Sunderland vs Manchester United

📅 Sat 09 May, 10:00

AWAY WIN

STRONG

⚽ AWAY WIN 52.7% (H:34.2 D:13 A:52.7) ⛔ AVOID

⚽ BTTS: NO 62% (Y:38 N:62) ⛔ AVOID

📈 UNDER 2.5 59.3% xG:2.31 (O:40.7 U:59.3) ⛔ AVOID

🚩 UNDER 9.5 50.9% exp:9.6 (O:49.1 U:50.9) ⛔ AVOID

xG 0.63 – 1.68 AVOID

⛔ NO BET MATCH

⌂ Sunderland: 10 home matches only (W4/D2/L4), avg 0.9 scored, 3.4 SOT, 3.4 corners ✈ Manchester United: 10 away matches only (W6/D3/L1), avg 1.4 scored, 5.2 SOT, 6.2 corners

1Step 1: Dataset Collection

Sunderland dataset: 10 home matches only Manchester United dataset: 10 away matches only Min required: 3 per team

2Step 2: Sunderland Statistics (dataset: home matches only)

3Step 3: Manchester United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Sunderland Win Strength = (home_win_rate 0.400 + away_loss_rate 0.100) / 2 = 0.250 Manchester United Win Strength = (away_win_rate 0.600 + home_loss_rate 0.400) / 2 = 0.500

5Step 5: Goal Strength Factor

Sunderland Goal Strength = home_avg_scored 0.90 / (away_avg_conceded 0.70 + 0.01) = 1.268 Manchester United Goal Strength = away_avg_scored 1.40 / (home_avg_conceded 1.20 + 0.01) = 1.157

6Step 6: Shot on Target Strength

Sunderland SOT Strength = 3.40 / (5.20 + 0.01) = 0.653 Manchester United SOT Strength = 5.20 / (3.40 + 0.01) = 1.525

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.333 Away=0.666 (sum=0.999) Goal: Home=0.523 Away=0.477 (sum=1.000) Shot: Home=0.300 Away=0.700 (sum=1.000) Form: Home=0.400 Away=0.599 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Sunderland Score = (0.333 × 0.35) + (0.523 × 0.30) + (0.300 × 0.20) + (0.400 × 0.15) = 0.3932 Manchester United Score = (0.666 × 0.35) + (0.477 × 0.30) + (0.700 × 0.20) + (0.599 × 0.15) = 0.6060

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.3932 | Away Score: 0.6060 | Diff: 0.2129 Normalized: Home=34.2% | Away=52.7% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 52.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 0.90 × away_avg_conceded 0.70 = 0.63 Away xG = away_avg_scored 1.40 × home_avg_conceded 1.20 = 1.68 Total xG = 0.63 + 1.68 = 2.31

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.31 P(Over 2.5) = 1 - PoissonCDF(2, 2.31) = 40.7% P(Under 2.5) = 59.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 59.3% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-0.63) = 0.467 P(Away Scores) = 1 - exp(-1.68) = 0.814 BTTS YES = 0.467 × 0.814 × 100 = 38.0% BTTS NO = 62.0% Result: BTTS NO (confidence: 62.0% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 3.40 + away_avg 6.20 = 9.60 P(Over 9.5) = 1 - PoissonCDF(9, 9.60) = 49.1% P(Under 9.5) = 50.9% Result: UNDER 9.5 (confidence: 50.9% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 34.2% | Draw: 13.0% | Away: 52.7% Prediction: AWAY WIN → AVOID (52.7%) [AVOID] OVER/UNDER 2.5: Over: 40.7% | Under: 59.3% Prediction: UNDER 2.5 → AVOID (59.3%) [AVOID] BTTS: Yes: 38.0% | No: 62.0% Prediction: NO → AVOID (62.0%) [AVOID] CORNERS: Over 9.5: 49.1% | Under 9.5: 50.9% Prediction: UNDER 9.5 → AVOID (50.9%) [AVOID] VERDICT: NO BET MATCH Active Markets: NONE Betslip Mark: AVOID

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Manchester United vs Brentford

📅 Sat 09 May, 12:30

HOME WIN

STRONG

⚽ HOME WIN 55% (H:55 D:13 A:31.9) WEAK

⚽ BTTS: YES 76.2% (Y:76.2 N:23.8) STRONG

📈 OVER 2.5 82.8% xG:4.51 (O:82.8 U:17.2) STRONG

🚩 OVER 9.5 69.1% exp:11.3 (O:69.1 U:30.9) STRONG

xG 2.86 – 1.65 HIGH

✅ BETTING OPPORTUNITY

Result: HOME WIN (55.0% → WEAK) Goals: OVER 2.5 (82.8% → STRONG) BTTS: YES (76.2% → STRONG) Corners: OVER 9.5 (69.1% → STRONG)

⌂ Manchester United: 10 home matches only (W8/D1/L1), avg 2.2 scored, 7.2 SOT, 6.4 corners ✈ Brentford: 10 away matches only (W5/D2/L3), avg 1.5 scored, 4.1 SOT, 4.9 corners

1Step 1: Dataset Collection

Manchester United dataset: 10 home matches only Brentford dataset: 10 away matches only Min required: 3 per team

2Step 2: Manchester United Statistics (dataset: home matches only)

3Step 3: Brentford Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Manchester United Win Strength = (home_win_rate 0.800 + away_loss_rate 0.300) / 2 = 0.550 Brentford Win Strength = (away_win_rate 0.500 + home_loss_rate 0.100) / 2 = 0.300

5Step 5: Goal Strength Factor

Manchester United Goal Strength = home_avg_scored 2.20 / (away_avg_conceded 1.30 + 0.01) = 1.679 Brentford Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 1.10 + 0.01) = 1.351

6Step 6: Shot on Target Strength

Manchester United SOT Strength = 7.20 / (4.10 + 0.01) = 1.752 Brentford SOT Strength = 4.10 / (7.20 + 0.01) = 0.569

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.646 Away=0.353 (sum=0.999) Goal: Home=0.554 Away=0.446 (sum=1.000) Shot: Home=0.755 Away=0.245 (sum=1.000) Form: Home=0.595 Away=0.404 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Manchester United Score = (0.646 × 0.35) + (0.554 × 0.30) + (0.755 × 0.20) + (0.595 × 0.15) = 0.6325 Brentford Score = (0.353 × 0.35) + (0.446 × 0.30) + (0.245 × 0.20) + (0.404 × 0.15) = 0.3668

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6325 | Away Score: 0.3668 | Diff: 0.2658 Normalized: Home=55.0% | Away=31.9% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 55.0% → WEAK)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.20 × away_avg_conceded 1.30 = 2.86 Away xG = away_avg_scored 1.50 × home_avg_conceded 1.10 = 1.65 Total xG = 2.86 + 1.65 = 4.51

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.51 P(Over 2.5) = 1 - PoissonCDF(2, 4.51) = 82.8% P(Under 2.5) = 17.2% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 82.8% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.86) = 0.943 P(Away Scores) = 1 - exp(-1.65) = 0.808 BTTS YES = 0.943 × 0.808 × 100 = 76.2% BTTS NO = 23.8% Result: BTTS YES (confidence: 76.2% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.40 + away_avg 4.90 = 11.30 P(Over 9.5) = 1 - PoissonCDF(9, 11.30) = 69.1% P(Under 9.5) = 30.9% Result: OVER 9.5 (confidence: 69.1% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 55.0% | Draw: 13.0% | Away: 31.9% Prediction: HOME WIN → WEAK (55.0%) OVER/UNDER 2.5: Over: 82.8% | Under: 17.2% Prediction: OVER 2.5 → STRONG (82.8%) BTTS: Yes: 76.2% | No: 23.8% Prediction: YES → STRONG (76.2%) CORNERS: Over 9.5: 69.1% | Under 9.5: 30.9% Prediction: OVER 9.5 → STRONG (69.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: HOME WIN (55.0% → WEAK) | Goals: OVER 2.5 (82.8% → STRONG) | BTTS: YES (76.2% → STRONG) | Corners: OVER 9.5 (69.1% → STRONG) Betslip Mark: HIGH

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Burnley vs Aston Villa

📅 Sun 10 May, 09:00

AWAY WIN

STRONG

⚽ AWAY WIN 53.9% (H:33 D:13 A:53.9) ⛔ AVOID

⚽ BTTS: YES 68.1% (Y:68.1 N:31.9) MEDIUM

📈 OVER 2.5 69.5% xG:3.59 (O:69.5 U:30.5) MEDIUM

🚩 UNDER 9.5 54.8% exp:9.3 (O:45.2 U:54.8) ⛔ AVOID

xG 1.5 – 2.09 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (69.5% → MEDIUM) BTTS: YES (68.1% → MEDIUM)

⌂ Burnley: 10 home matches only (W0/D4/L6), avg 1 scored, 3.3 SOT, 4.7 corners ✈ Aston Villa: 10 away matches only (W3/D3/L4), avg 1.1 scored, 4.3 SOT, 4.6 corners

1Step 1: Dataset Collection

Burnley dataset: 10 home matches only Aston Villa dataset: 10 away matches only Min required: 3 per team

2Step 2: Burnley Statistics (dataset: home matches only)

3Step 3: Aston Villa Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Burnley Win Strength = (home_win_rate 0.000 + away_loss_rate 0.400) / 2 = 0.200 Aston Villa Win Strength = (away_win_rate 0.300 + home_loss_rate 0.600) / 2 = 0.450

5Step 5: Goal Strength Factor

Burnley Goal Strength = home_avg_scored 1.00 / (away_avg_conceded 1.50 + 0.01) = 0.662 Aston Villa Goal Strength = away_avg_scored 1.10 / (home_avg_conceded 1.90 + 0.01) = 0.576

6Step 6: Shot on Target Strength

Burnley SOT Strength = 3.30 / (4.30 + 0.01) = 0.766 Aston Villa SOT Strength = 4.30 / (3.30 + 0.01) = 1.299

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.307 Away=0.691 (sum=0.998) Goal: Home=0.534 Away=0.465 (sum=0.999) Shot: Home=0.371 Away=0.629 (sum=1.000) Form: Home=0.249 Away=0.749 (sum=0.998)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Burnley Score = (0.307 × 0.35) + (0.534 × 0.30) + (0.371 × 0.20) + (0.249 × 0.15) = 0.3794 Aston Villa Score = (0.691 × 0.35) + (0.465 × 0.30) + (0.629 × 0.20) + (0.749 × 0.15) = 0.6194

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.3794 | Away Score: 0.6194 | Diff: 0.2400 Normalized: Home=33.0% | Away=53.9% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 53.9% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.00 × away_avg_conceded 1.50 = 1.50 Away xG = away_avg_scored 1.10 × home_avg_conceded 1.90 = 2.09 Total xG = 1.50 + 2.09 = 3.59

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.59 P(Over 2.5) = 1 - PoissonCDF(2, 3.59) = 69.5% P(Under 2.5) = 30.5% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 69.5% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.50) = 0.777 P(Away Scores) = 1 - exp(-2.09) = 0.876 BTTS YES = 0.777 × 0.876 × 100 = 68.1% BTTS NO = 31.9% Result: BTTS YES (confidence: 68.1% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 4.60 = 9.30 P(Over 9.5) = 1 - PoissonCDF(9, 9.30) = 45.2% P(Under 9.5) = 54.8% Result: UNDER 9.5 (confidence: 54.8% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 33.0% | Draw: 13.0% | Away: 53.9% Prediction: AWAY WIN → AVOID (53.9%) [AVOID] OVER/UNDER 2.5: Over: 69.5% | Under: 30.5% Prediction: OVER 2.5 → MEDIUM (69.5%) BTTS: Yes: 68.1% | No: 31.9% Prediction: YES → MEDIUM (68.1%) CORNERS: Over 9.5: 45.2% | Under 9.5: 54.8% Prediction: UNDER 9.5 → AVOID (54.8%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (69.5% → MEDIUM) | BTTS: YES (68.1% → MEDIUM) Betslip Mark: MEDIUM

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Crystal Palace vs Everton

📅 Sun 10 May, 09:00

AWAY WIN

STRONG

⚽ AWAY WIN 53.4% (H:33.5 D:13 A:53.4) ⛔ AVOID

⚽ BTTS: NO 56.6% (Y:43.4 N:56.6) ⛔ AVOID

📈 UNDER 2.5 60.1% xG:2.28 (O:39.9 U:60.1) ⛔ AVOID

🚩 UNDER 9.5 65.3% exp:8.5 (O:34.7 U:65.3) MEDIUM

xG 0.84 – 1.44 MEDIUM

✅ BETTING OPPORTUNITY

Corners: UNDER 9.5 (65.3% → MEDIUM)

⌂ Crystal Palace: 10 home matches only (W2/D4/L4), avg 0.7 scored, 3.2 SOT, 4.7 corners ✈ Everton: 10 away matches only (W4/D3/L3), avg 1.2 scored, 3.9 SOT, 3.8 corners

1Step 1: Dataset Collection

Crystal Palace dataset: 10 home matches only Everton dataset: 10 away matches only Min required: 3 per team

2Step 2: Crystal Palace Statistics (dataset: home matches only)

3Step 3: Everton Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Crystal Palace Win Strength = (home_win_rate 0.200 + away_loss_rate 0.300) / 2 = 0.250 Everton Win Strength = (away_win_rate 0.400 + home_loss_rate 0.400) / 2 = 0.400

5Step 5: Goal Strength Factor

Crystal Palace Goal Strength = home_avg_scored 0.70 / (away_avg_conceded 1.20 + 0.01) = 0.579 Everton Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 1.20 + 0.01) = 0.992

6Step 6: Shot on Target Strength

Crystal Palace SOT Strength = 3.20 / (3.90 + 0.01) = 0.818 Everton SOT Strength = 3.90 / (3.20 + 0.01) = 1.215

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.384 Away=0.614 (sum=0.998) Goal: Home=0.368 Away=0.631 (sum=0.999) Shot: Home=0.402 Away=0.597 (sum=1.000) Form: Home=0.399 Away=0.599 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Crystal Palace Score = (0.384 × 0.35) + (0.368 × 0.30) + (0.402 × 0.20) + (0.399 × 0.15) = 0.3852 Everton Score = (0.614 × 0.35) + (0.631 × 0.30) + (0.597 × 0.20) + (0.599 × 0.15) = 0.6137

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.3852 | Away Score: 0.6137 | Diff: 0.2285 Normalized: Home=33.5% | Away=53.4% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 53.4% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 0.70 × away_avg_conceded 1.20 = 0.84 Away xG = away_avg_scored 1.20 × home_avg_conceded 1.20 = 1.44 Total xG = 0.84 + 1.44 = 2.28

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.28 P(Over 2.5) = 1 - PoissonCDF(2, 2.28) = 39.9% P(Under 2.5) = 60.1% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 60.1% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-0.84) = 0.568 P(Away Scores) = 1 - exp(-1.44) = 0.763 BTTS YES = 0.568 × 0.763 × 100 = 43.4% BTTS NO = 56.6% Result: BTTS NO (confidence: 56.6% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 3.80 = 8.50 P(Over 9.5) = 1 - PoissonCDF(9, 8.50) = 34.7% P(Under 9.5) = 65.3% Result: UNDER 9.5 (confidence: 65.3% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 33.5% | Draw: 13.0% | Away: 53.4% Prediction: AWAY WIN → AVOID (53.4%) [AVOID] OVER/UNDER 2.5: Over: 39.9% | Under: 60.1% Prediction: UNDER 2.5 → AVOID (60.1%) [AVOID] BTTS: Yes: 43.4% | No: 56.6% Prediction: NO → AVOID (56.6%) [AVOID] CORNERS: Over 9.5: 34.7% | Under 9.5: 65.3% Prediction: UNDER 9.5 → MEDIUM (65.3%) VERDICT: BETTING OPPORTUNITY Active Markets: Corners: UNDER 9.5 (65.3% → MEDIUM) Betslip Mark: MEDIUM

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Nottingham Forest vs Newcastle United

📅 Sun 10 May, 09:00

DRAW

STRONG

⚽ DRAW 13% (H:42.7 D:13 A:44.3) ⛔ AVOID

⚽ BTTS: NO 62.7% (Y:37.3 N:62.7) ⛔ AVOID

📈 UNDER 2.5 67.1% xG:2.02 (O:32.9 U:67.1) MEDIUM

🚩 OVER 9.5 75.8% exp:12 (O:75.8 U:24.2) STRONG

xG 1.3 – 0.72 HIGH

✅ BETTING OPPORTUNITY

Goals: UNDER 2.5 (67.1% → MEDIUM) Corners: OVER 9.5 (75.8% → STRONG)

⌂ Nottingham Forest: 10 home matches only (W2/D5/L3), avg 1 scored, 3.7 SOT, 5.7 corners ✈ Newcastle United: 10 away matches only (W3/D1/L6), avg 0.9 scored, 4.1 SOT, 6.3 corners

1Step 1: Dataset Collection

Nottingham Forest dataset: 10 home matches only Newcastle United dataset: 10 away matches only Min required: 3 per team

2Step 2: Nottingham Forest Statistics (dataset: home matches only)

3Step 3: Newcastle United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Nottingham Forest Win Strength = (home_win_rate 0.200 + away_loss_rate 0.600) / 2 = 0.400 Newcastle United Win Strength = (away_win_rate 0.300 + home_loss_rate 0.300) / 2 = 0.300

5Step 5: Goal Strength Factor

Nottingham Forest Goal Strength = home_avg_scored 1.00 / (away_avg_conceded 1.30 + 0.01) = 0.763 Newcastle United Goal Strength = away_avg_scored 0.90 / (home_avg_conceded 0.80 + 0.01) = 1.111

6Step 6: Shot on Target Strength

Nottingham Forest SOT Strength = 3.70 / (4.10 + 0.01) = 0.900 Newcastle United SOT Strength = 4.10 / (3.70 + 0.01) = 1.105

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.571 Away=0.428 (sum=0.999) Goal: Home=0.407 Away=0.592 (sum=0.999) Shot: Home=0.449 Away=0.551 (sum=1.000) Form: Home=0.523 Away=0.475 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Nottingham Forest Score = (0.571 × 0.35) + (0.407 × 0.30) + (0.449 × 0.20) + (0.523 × 0.15) = 0.4900 Newcastle United Score = (0.428 × 0.35) + (0.592 × 0.30) + (0.551 × 0.20) + (0.475 × 0.15) = 0.5090

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4900 | Away Score: 0.5090 | Diff: 0.0190 Normalized: Home=42.7% | Away=44.3% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.00 × away_avg_conceded 1.30 = 1.30 Away xG = away_avg_scored 0.90 × home_avg_conceded 0.80 = 0.72 Total xG = 1.30 + 0.72 = 2.02

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.02 P(Over 2.5) = 1 - PoissonCDF(2, 2.02) = 32.9% P(Under 2.5) = 67.1% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 67.1% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.30) = 0.727 P(Away Scores) = 1 - exp(-0.72) = 0.513 BTTS YES = 0.727 × 0.513 × 100 = 37.3% BTTS NO = 62.7% Result: BTTS NO (confidence: 62.7% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.70 + away_avg 6.30 = 12.00 P(Over 9.5) = 1 - PoissonCDF(9, 12.00) = 75.8% P(Under 9.5) = 24.2% Result: OVER 9.5 (confidence: 75.8% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 42.7% | Draw: 13.0% | Away: 44.3% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 32.9% | Under: 67.1% Prediction: UNDER 2.5 → MEDIUM (67.1%) BTTS: Yes: 37.3% | No: 62.7% Prediction: NO → AVOID (62.7%) [AVOID] CORNERS: Over 9.5: 75.8% | Under 9.5: 24.2% Prediction: OVER 9.5 → STRONG (75.8%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: UNDER 2.5 (67.1% → MEDIUM) | Corners: OVER 9.5 (75.8% → STRONG) Betslip Mark: HIGH

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West Ham United vs Arsenal

📅 Sun 10 May, 11:30

AWAY WIN

MODERATE

⚽ AWAY WIN 50.2% (H:36.8 D:13 A:50.2) ⛔ AVOID

⚽ BTTS: YES 70.6% (Y:70.6 N:29.4) STRONG

📈 OVER 2.5 72.5% xG:3.76 (O:72.5 U:27.5) STRONG

🚩 OVER 9.5 52.9% exp:9.9 (O:52.9 U:47.1) ⛔ AVOID

xG 1.6 – 2.16 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (72.5% → STRONG) BTTS: YES (70.6% → STRONG)

⌂ West Ham United: 10 home matches only (W3/D4/L3), avg 1.6 scored, 3.4 SOT, 4.7 corners ✈ Arsenal: 10 away matches only (W5/D3/L2), avg 1.8 scored, 4.6 SOT, 5.2 corners

1Step 1: Dataset Collection

West Ham United dataset: 10 home matches only Arsenal dataset: 10 away matches only Min required: 3 per team

2Step 2: West Ham United Statistics (dataset: home matches only)

3Step 3: Arsenal Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

West Ham United Win Strength = (home_win_rate 0.300 + away_loss_rate 0.200) / 2 = 0.250 Arsenal Win Strength = (away_win_rate 0.500 + home_loss_rate 0.300) / 2 = 0.400

5Step 5: Goal Strength Factor

West Ham United Goal Strength = home_avg_scored 1.60 / (away_avg_conceded 1.00 + 0.01) = 1.584 Arsenal Goal Strength = away_avg_scored 1.80 / (home_avg_conceded 1.20 + 0.01) = 1.488

6Step 6: Shot on Target Strength

West Ham United SOT Strength = 3.40 / (4.60 + 0.01) = 0.738 Arsenal SOT Strength = 4.60 / (3.40 + 0.01) = 1.349

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.384 Away=0.614 (sum=0.998) Goal: Home=0.516 Away=0.484 (sum=1.000) Shot: Home=0.353 Away=0.646 (sum=1.000) Form: Home=0.419 Away=0.580 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

West Ham United Score = (0.384 × 0.35) + (0.516 × 0.30) + (0.353 × 0.20) + (0.419 × 0.15) = 0.4226 Arsenal Score = (0.614 × 0.35) + (0.484 × 0.30) + (0.646 × 0.20) + (0.580 × 0.15) = 0.5765

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4226 | Away Score: 0.5765 | Diff: 0.1540 Normalized: Home=36.8% | Away=50.2% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 50.2% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.60 × away_avg_conceded 1.00 = 1.60 Away xG = away_avg_scored 1.80 × home_avg_conceded 1.20 = 2.16 Total xG = 1.60 + 2.16 = 3.76

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.76 P(Over 2.5) = 1 - PoissonCDF(2, 3.76) = 72.5% P(Under 2.5) = 27.5% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 72.5% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.60) = 0.798 P(Away Scores) = 1 - exp(-2.16) = 0.885 BTTS YES = 0.798 × 0.885 × 100 = 70.6% BTTS NO = 29.4% Result: BTTS YES (confidence: 70.6% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 5.20 = 9.90 P(Over 9.5) = 1 - PoissonCDF(9, 9.90) = 52.9% P(Under 9.5) = 47.1% Result: OVER 9.5 (confidence: 52.9% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 36.8% | Draw: 13.0% | Away: 50.2% Prediction: AWAY WIN → AVOID (50.2%) [AVOID] OVER/UNDER 2.5: Over: 72.5% | Under: 27.5% Prediction: OVER 2.5 → STRONG (72.5%) BTTS: Yes: 70.6% | No: 29.4% Prediction: YES → STRONG (70.6%) CORNERS: Over 9.5: 52.9% | Under 9.5: 47.1% Prediction: OVER 9.5 → AVOID (52.9%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (72.5% → STRONG) | BTTS: YES (70.6% → STRONG) Betslip Mark: HIGH

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Tottenham Hotspur vs Leeds United

📅 Mon 11 May, 15:00

AWAY WIN

MODERATE

⚽ AWAY WIN 49.7% (H:37.2 D:13 A:49.7) ⛔ AVOID

⚽ BTTS: YES 73.8% (Y:73.8 N:26.2) STRONG

📈 OVER 2.5 80.1% xG:4.29 (O:80.1 U:19.9) STRONG

🚩 UNDER 9.5 58.7% exp:9 (O:41.3 U:58.7) WEAK

xG 1.56 – 2.73 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (80.1% → STRONG) BTTS: YES (73.8% → STRONG) Corners: UNDER 9.5 (58.7% → WEAK)

⌂ Tottenham Hotspur: 10 home matches only (W1/D3/L6), avg 1.2 scored, 4.8 SOT, 5.6 corners ✈ Leeds United: 10 away matches only (W1/D8/L1), avg 1.3 scored, 4 SOT, 3.4 corners

1Step 1: Dataset Collection

Tottenham Hotspur dataset: 10 home matches only Leeds United dataset: 10 away matches only Min required: 3 per team

2Step 2: Tottenham Hotspur Statistics (dataset: home matches only)

3Step 3: Leeds United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Tottenham Hotspur Win Strength = (home_win_rate 0.100 + away_loss_rate 0.100) / 2 = 0.100 Leeds United Win Strength = (away_win_rate 0.100 + home_loss_rate 0.600) / 2 = 0.350

5Step 5: Goal Strength Factor

Tottenham Hotspur Goal Strength = home_avg_scored 1.20 / (away_avg_conceded 1.30 + 0.01) = 0.916 Leeds United Goal Strength = away_avg_scored 1.30 / (home_avg_conceded 2.10 + 0.01) = 0.616

6Step 6: Shot on Target Strength

Tottenham Hotspur SOT Strength = 4.80 / (4.00 + 0.01) = 1.197 Leeds United SOT Strength = 4.00 / (4.80 + 0.01) = 0.832

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.222 Away=0.776 (sum=0.998) Goal: Home=0.597 Away=0.402 (sum=0.999) Shot: Home=0.590 Away=0.410 (sum=1.000) Form: Home=0.352 Away=0.646 (sum=0.998)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Tottenham Hotspur Score = (0.222 × 0.35) + (0.597 × 0.30) + (0.590 × 0.20) + (0.352 × 0.15) = 0.4277 Leeds United Score = (0.776 × 0.35) + (0.402 × 0.30) + (0.410 × 0.20) + (0.646 × 0.15) = 0.5710

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4277 | Away Score: 0.5710 | Diff: 0.1434 Normalized: Home=37.2% | Away=49.7% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 49.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.20 × away_avg_conceded 1.30 = 1.56 Away xG = away_avg_scored 1.30 × home_avg_conceded 2.10 = 2.73 Total xG = 1.56 + 2.73 = 4.29

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.29 P(Over 2.5) = 1 - PoissonCDF(2, 4.29) = 80.1% P(Under 2.5) = 19.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 80.1% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.56) = 0.790 P(Away Scores) = 1 - exp(-2.73) = 0.935 BTTS YES = 0.790 × 0.935 × 100 = 73.8% BTTS NO = 26.2% Result: BTTS YES (confidence: 73.8% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.60 + away_avg 3.40 = 9.00 P(Over 9.5) = 1 - PoissonCDF(9, 9.00) = 41.3% P(Under 9.5) = 58.7% Result: UNDER 9.5 (confidence: 58.7% → WEAK)

14Step 14: Final Verdict

MATCH RESULT: Home: 37.2% | Draw: 13.0% | Away: 49.7% Prediction: AWAY WIN → AVOID (49.7%) [AVOID] OVER/UNDER 2.5: Over: 80.1% | Under: 19.9% Prediction: OVER 2.5 → STRONG (80.1%) BTTS: Yes: 73.8% | No: 26.2% Prediction: YES → STRONG (73.8%) CORNERS: Over 9.5: 41.3% | Under 9.5: 58.7% Prediction: UNDER 9.5 → WEAK (58.7%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (80.1% → STRONG) | BTTS: YES (73.8% → STRONG) | Corners: UNDER 9.5 (58.7% → WEAK) Betslip Mark: HIGH

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Manchester United vs Crystal Palace

📅 Wed 13 May, 15:00

HOME WIN

STRONG

⚽ HOME WIN 59.2% (H:59.2 D:13 A:27.8) WEAK

⚽ BTTS: YES 71.1% (Y:71.1 N:28.9) STRONG

📈 OVER 2.5 86.1% xG:4.84 (O:86.1 U:13.9) STRONG

🚩 OVER 9.5 65.9% exp:11 (O:65.9 U:34.1) STRONG

xG 3.52 – 1.32 HIGH

✅ BETTING OPPORTUNITY

Result: HOME WIN (59.2% → WEAK) Goals: OVER 2.5 (86.1% → STRONG) BTTS: YES (71.1% → STRONG) Corners: OVER 9.5 (65.9% → STRONG)

⌂ Manchester United: 10 home matches only (W8/D1/L1), avg 2.2 scored, 7.2 SOT, 6.4 corners ✈ Crystal Palace: 10 away matches only (W4/D1/L5), avg 1.2 scored, 3.5 SOT, 4.6 corners

1Step 1: Dataset Collection

Manchester United dataset: 10 home matches only Crystal Palace dataset: 10 away matches only Min required: 3 per team

2Step 2: Manchester United Statistics (dataset: home matches only)

3Step 3: Crystal Palace Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Manchester United Win Strength = (home_win_rate 0.800 + away_loss_rate 0.500) / 2 = 0.650 Crystal Palace Win Strength = (away_win_rate 0.400 + home_loss_rate 0.100) / 2 = 0.250

5Step 5: Goal Strength Factor

Manchester United Goal Strength = home_avg_scored 2.20 / (away_avg_conceded 1.60 + 0.01) = 1.366 Crystal Palace Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 1.10 + 0.01) = 1.081

6Step 6: Shot on Target Strength

Manchester United SOT Strength = 7.20 / (3.50 + 0.01) = 2.051 Crystal Palace SOT Strength = 3.50 / (7.20 + 0.01) = 0.485

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.721 Away=0.277 (sum=0.999) Goal: Home=0.558 Away=0.442 (sum=1.000) Shot: Home=0.808 Away=0.191 (sum=1.000) Form: Home=0.657 Away=0.342 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Manchester United Score = (0.721 × 0.35) + (0.558 × 0.30) + (0.808 × 0.20) + (0.657 × 0.15) = 0.6802 Crystal Palace Score = (0.277 × 0.35) + (0.442 × 0.30) + (0.191 × 0.20) + (0.342 × 0.15) = 0.3191

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6802 | Away Score: 0.3191 | Diff: 0.3611 Normalized: Home=59.2% | Away=27.8% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 59.2% → WEAK)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.20 × away_avg_conceded 1.60 = 3.52 Away xG = away_avg_scored 1.20 × home_avg_conceded 1.10 = 1.32 Total xG = 3.52 + 1.32 = 4.84

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.84 P(Over 2.5) = 1 - PoissonCDF(2, 4.84) = 86.1% P(Under 2.5) = 13.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 86.1% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.52) = 0.970 P(Away Scores) = 1 - exp(-1.32) = 0.733 BTTS YES = 0.970 × 0.733 × 100 = 71.1% BTTS NO = 28.9% Result: BTTS YES (confidence: 71.1% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.40 + away_avg 4.60 = 11.00 P(Over 9.5) = 1 - PoissonCDF(9, 11.00) = 65.9% P(Under 9.5) = 34.1% Result: OVER 9.5 (confidence: 65.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 59.2% | Draw: 13.0% | Away: 27.8% Prediction: HOME WIN → WEAK (59.2%) OVER/UNDER 2.5: Over: 86.1% | Under: 13.9% Prediction: OVER 2.5 → STRONG (86.1%) BTTS: Yes: 71.1% | No: 28.9% Prediction: YES → STRONG (71.1%) CORNERS: Over 9.5: 65.9% | Under 9.5: 34.1% Prediction: OVER 9.5 → STRONG (65.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: HOME WIN (59.2% → WEAK) | Goals: OVER 2.5 (86.1% → STRONG) | BTTS: YES (71.1% → STRONG) | Corners: OVER 9.5 (65.9% → STRONG) Betslip Mark: HIGH

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Aston Villa vs Liverpool

📅 Sun 17 May, 07:30

DRAW

MODERATE

⚽ DRAW 13% (H:47.1 D:13 A:39.9) ⛔ AVOID

⚽ BTTS: YES 76.6% (Y:76.6 N:23.4) STRONG

📈 OVER 2.5 78.8% xG:4.19 (O:78.8 U:21.2) STRONG

🚩 OVER 9.5 79.1% exp:12.4 (O:79.1 U:20.9) STRONG

xG 2.24 – 1.95 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (78.8% → STRONG) BTTS: YES (76.6% → STRONG) Corners: OVER 9.5 (79.1% → STRONG)

⌂ Aston Villa: 10 home matches only (W6/D1/L3), avg 1.6 scored, 4.7 SOT, 5.7 corners ✈ Liverpool: 10 away matches only (W4/D3/L3), avg 1.5 scored, 4.2 SOT, 6.7 corners

1Step 1: Dataset Collection

Aston Villa dataset: 10 home matches only Liverpool dataset: 10 away matches only Min required: 3 per team

2Step 2: Aston Villa Statistics (dataset: home matches only)

3Step 3: Liverpool Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Aston Villa Win Strength = (home_win_rate 0.600 + away_loss_rate 0.300) / 2 = 0.450 Liverpool Win Strength = (away_win_rate 0.400 + home_loss_rate 0.300) / 2 = 0.350

5Step 5: Goal Strength Factor

Aston Villa Goal Strength = home_avg_scored 1.60 / (away_avg_conceded 1.40 + 0.01) = 1.135 Liverpool Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 1.30 + 0.01) = 1.145

6Step 6: Shot on Target Strength

Aston Villa SOT Strength = 4.70 / (4.20 + 0.01) = 1.116 Liverpool SOT Strength = 4.20 / (4.70 + 0.01) = 0.892

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.562 Away=0.437 (sum=0.999) Goal: Home=0.498 Away=0.502 (sum=1.000) Shot: Home=0.556 Away=0.444 (sum=1.000) Form: Home=0.558 Away=0.441 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Aston Villa Score = (0.562 × 0.35) + (0.498 × 0.30) + (0.556 × 0.20) + (0.558 × 0.15) = 0.5408 Liverpool Score = (0.437 × 0.35) + (0.502 × 0.30) + (0.444 × 0.20) + (0.441 × 0.15) = 0.4584

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5408 | Away Score: 0.4584 | Diff: 0.0823 Normalized: Home=47.1% | Away=39.9% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.60 × away_avg_conceded 1.40 = 2.24 Away xG = away_avg_scored 1.50 × home_avg_conceded 1.30 = 1.95 Total xG = 2.24 + 1.95 = 4.19

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.19 P(Over 2.5) = 1 - PoissonCDF(2, 4.19) = 78.8% P(Under 2.5) = 21.2% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 78.8% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.24) = 0.894 P(Away Scores) = 1 - exp(-1.95) = 0.858 BTTS YES = 0.894 × 0.858 × 100 = 76.6% BTTS NO = 23.4% Result: BTTS YES (confidence: 76.6% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.70 + away_avg 6.70 = 12.40 P(Over 9.5) = 1 - PoissonCDF(9, 12.40) = 79.1% P(Under 9.5) = 20.9% Result: OVER 9.5 (confidence: 79.1% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 47.1% | Draw: 13.0% | Away: 39.9% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 78.8% | Under: 21.2% Prediction: OVER 2.5 → STRONG (78.8%) BTTS: Yes: 76.6% | No: 23.4% Prediction: YES → STRONG (76.6%) CORNERS: Over 9.5: 79.1% | Under 9.5: 20.9% Prediction: OVER 9.5 → STRONG (79.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (78.8% → STRONG) | BTTS: YES (76.6% → STRONG) | Corners: OVER 9.5 (79.1% → STRONG) Betslip Mark: HIGH

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Manchester United vs Nottingham Forest

📅 Sun 17 May, 07:30

HOME WIN

STRONG

⚽ HOME WIN 55.9% (H:55.9 D:13 A:31) WEAK

⚽ BTTS: YES 81.5% (Y:81.5 N:18.5) STRONG

📈 OVER 2.5 88.9% xG:5.17 (O:88.9 U:11.1) STRONG

🚩 OVER 9.5 65.9% exp:11 (O:65.9 U:34.1) STRONG

xG 3.3 – 1.87 HIGH

✅ BETTING OPPORTUNITY

Result: HOME WIN (55.9% → WEAK) Goals: OVER 2.5 (88.9% → STRONG) BTTS: YES (81.5% → STRONG) Corners: OVER 9.5 (65.9% → STRONG)

⌂ Manchester United: 10 home matches only (W8/D1/L1), avg 2.2 scored, 7.2 SOT, 6.4 corners ✈ Nottingham Forest: 10 away matches only (W4/D1/L5), avg 1.7 scored, 4.4 SOT, 4.6 corners

1Step 1: Dataset Collection

Manchester United dataset: 10 home matches only Nottingham Forest dataset: 10 away matches only Min required: 3 per team

2Step 2: Manchester United Statistics (dataset: home matches only)

3Step 3: Nottingham Forest Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Manchester United Win Strength = (home_win_rate 0.800 + away_loss_rate 0.500) / 2 = 0.650 Nottingham Forest Win Strength = (away_win_rate 0.400 + home_loss_rate 0.100) / 2 = 0.250

5Step 5: Goal Strength Factor

Manchester United Goal Strength = home_avg_scored 2.20 / (away_avg_conceded 1.50 + 0.01) = 1.457 Nottingham Forest Goal Strength = away_avg_scored 1.70 / (home_avg_conceded 1.10 + 0.01) = 1.532

6Step 6: Shot on Target Strength

Manchester United SOT Strength = 7.20 / (4.40 + 0.01) = 1.633 Nottingham Forest SOT Strength = 4.40 / (7.20 + 0.01) = 0.610

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.721 Away=0.277 (sum=0.999) Goal: Home=0.487 Away=0.512 (sum=1.000) Shot: Home=0.728 Away=0.272 (sum=1.000) Form: Home=0.657 Away=0.342 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Manchester United Score = (0.721 × 0.35) + (0.487 × 0.30) + (0.728 × 0.20) + (0.657 × 0.15) = 0.6428 Nottingham Forest Score = (0.277 × 0.35) + (0.512 × 0.30) + (0.272 × 0.20) + (0.342 × 0.15) = 0.3565

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6428 | Away Score: 0.3565 | Diff: 0.2864 Normalized: Home=55.9% | Away=31.0% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 55.9% → WEAK)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.20 × away_avg_conceded 1.50 = 3.30 Away xG = away_avg_scored 1.70 × home_avg_conceded 1.10 = 1.87 Total xG = 3.30 + 1.87 = 5.17

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 5.17 P(Over 2.5) = 1 - PoissonCDF(2, 5.17) = 88.9% P(Under 2.5) = 11.1% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 88.9% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.30) = 0.963 P(Away Scores) = 1 - exp(-1.87) = 0.846 BTTS YES = 0.963 × 0.846 × 100 = 81.5% BTTS NO = 18.5% Result: BTTS YES (confidence: 81.5% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.40 + away_avg 4.60 = 11.00 P(Over 9.5) = 1 - PoissonCDF(9, 11.00) = 65.9% P(Under 9.5) = 34.1% Result: OVER 9.5 (confidence: 65.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 55.9% | Draw: 13.0% | Away: 31.0% Prediction: HOME WIN → WEAK (55.9%) OVER/UNDER 2.5: Over: 88.9% | Under: 11.1% Prediction: OVER 2.5 → STRONG (88.9%) BTTS: Yes: 81.5% | No: 18.5% Prediction: YES → STRONG (81.5%) CORNERS: Over 9.5: 65.9% | Under 9.5: 34.1% Prediction: OVER 9.5 → STRONG (65.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: HOME WIN (55.9% → WEAK) | Goals: OVER 2.5 (88.9% → STRONG) | BTTS: YES (81.5% → STRONG) | Corners: OVER 9.5 (65.9% → STRONG) Betslip Mark: HIGH

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Brentford vs Crystal Palace

📅 Sun 17 May, 10:00

DRAW

STRONG

⚽ DRAW 13% (H:42.5 D:13 A:44.5) ⛔ AVOID

⚽ BTTS: YES 64.1% (Y:64.1 N:35.9) MEDIUM

📈 OVER 2.5 66% xG:3.4 (O:66 U:34) MEDIUM

🚩 UNDER 9.5 61.4% exp:8.8 (O:38.6 U:61.4) MEDIUM

xG 2.08 – 1.32 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (66.0% → MEDIUM) BTTS: YES (64.1% → MEDIUM) Corners: UNDER 9.5 (61.4% → MEDIUM)

⌂ Brentford: 10 home matches only (W2/D6/L2), avg 1.3 scored, 3.5 SOT, 4.2 corners ✈ Crystal Palace: 10 away matches only (W4/D1/L5), avg 1.2 scored, 3.5 SOT, 4.6 corners

1Step 1: Dataset Collection

Brentford dataset: 10 home matches only Crystal Palace dataset: 10 away matches only Min required: 3 per team

2Step 2: Brentford Statistics (dataset: home matches only)

3Step 3: Crystal Palace Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Brentford Win Strength = (home_win_rate 0.200 + away_loss_rate 0.500) / 2 = 0.350 Crystal Palace Win Strength = (away_win_rate 0.400 + home_loss_rate 0.200) / 2 = 0.300

5Step 5: Goal Strength Factor

Brentford Goal Strength = home_avg_scored 1.30 / (away_avg_conceded 1.60 + 0.01) = 0.807 Crystal Palace Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 1.10 + 0.01) = 1.081

6Step 6: Shot on Target Strength

Brentford SOT Strength = 3.50 / (3.50 + 0.01) = 0.997 Crystal Palace SOT Strength = 3.50 / (3.50 + 0.01) = 0.997

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.538 Away=0.461 (sum=0.998) Goal: Home=0.427 Away=0.572 (sum=0.999) Shot: Home=0.500 Away=0.500 (sum=0.999) Form: Home=0.479 Away=0.519 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Brentford Score = (0.538 × 0.35) + (0.427 × 0.30) + (0.500 × 0.20) + (0.479 × 0.15) = 0.4882 Crystal Palace Score = (0.461 × 0.35) + (0.572 × 0.30) + (0.500 × 0.20) + (0.519 × 0.15) = 0.5108

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4882 | Away Score: 0.5108 | Diff: 0.0225 Normalized: Home=42.5% | Away=44.5% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.30 × away_avg_conceded 1.60 = 2.08 Away xG = away_avg_scored 1.20 × home_avg_conceded 1.10 = 1.32 Total xG = 2.08 + 1.32 = 3.40

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.40 P(Over 2.5) = 1 - PoissonCDF(2, 3.40) = 66.0% P(Under 2.5) = 34.0% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 66.0% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.08) = 0.875 P(Away Scores) = 1 - exp(-1.32) = 0.733 BTTS YES = 0.875 × 0.733 × 100 = 64.1% BTTS NO = 35.9% Result: BTTS YES (confidence: 64.1% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.20 + away_avg 4.60 = 8.80 P(Over 9.5) = 1 - PoissonCDF(9, 8.80) = 38.6% P(Under 9.5) = 61.4% Result: UNDER 9.5 (confidence: 61.4% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 42.5% | Draw: 13.0% | Away: 44.5% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 66.0% | Under: 34.0% Prediction: OVER 2.5 → MEDIUM (66.0%) BTTS: Yes: 64.1% | No: 35.9% Prediction: YES → MEDIUM (64.1%) CORNERS: Over 9.5: 38.6% | Under 9.5: 61.4% Prediction: UNDER 9.5 → MEDIUM (61.4%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (66.0% → MEDIUM) | BTTS: YES (64.1% → MEDIUM) | Corners: UNDER 9.5 (61.4% → MEDIUM) Betslip Mark: MEDIUM

🤖 Loading AI analysis from Groq…

Everton vs Sunderland

📅 Sun 17 May, 10:00

DRAW

MODERATE

⚽ DRAW 13% (H:46.7 D:13 A:40.2) ⛔ AVOID

⚽ BTTS: YES 61.4% (Y:61.4 N:38.6) MEDIUM

📈 OVER 2.5 72.1% xG:3.74 (O:72.1 U:27.9) STRONG

🚩 UNDER 9.5 67.9% exp:8.3 (O:32.1 U:67.9) MEDIUM

xG 2.66 – 1.08 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (72.1% → STRONG) BTTS: YES (61.4% → MEDIUM) Corners: UNDER 9.5 (67.9% → MEDIUM)

⌂ Everton: 10 home matches only (W3/D2/L5), avg 1.4 scored, 4.5 SOT, 4.5 corners ✈ Sunderland: 10 away matches only (W2/D3/L5), avg 0.9 scored, 3.7 SOT, 3.8 corners

1Step 1: Dataset Collection

Everton dataset: 10 home matches only Sunderland dataset: 10 away matches only Min required: 3 per team

2Step 2: Everton Statistics (dataset: home matches only)

3Step 3: Sunderland Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Everton Win Strength = (home_win_rate 0.300 + away_loss_rate 0.500) / 2 = 0.400 Sunderland Win Strength = (away_win_rate 0.200 + home_loss_rate 0.500) / 2 = 0.350

5Step 5: Goal Strength Factor

Everton Goal Strength = home_avg_scored 1.40 / (away_avg_conceded 1.90 + 0.01) = 0.733 Sunderland Goal Strength = away_avg_scored 0.90 / (home_avg_conceded 1.20 + 0.01) = 0.744

6Step 6: Shot on Target Strength

Everton SOT Strength = 4.50 / (3.70 + 0.01) = 1.213 Sunderland SOT Strength = 3.70 / (4.50 + 0.01) = 0.820

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.533 Away=0.466 (sum=0.999) Goal: Home=0.496 Away=0.503 (sum=0.999) Shot: Home=0.596 Away=0.403 (sum=1.000) Form: Home=0.549 Away=0.449 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Everton Score = (0.533 × 0.35) + (0.496 × 0.30) + (0.596 × 0.20) + (0.549 × 0.15) = 0.5368 Sunderland Score = (0.466 × 0.35) + (0.503 × 0.30) + (0.403 × 0.20) + (0.449 × 0.15) = 0.4622

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5368 | Away Score: 0.4622 | Diff: 0.0747 Normalized: Home=46.7% | Away=40.2% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.40 × away_avg_conceded 1.90 = 2.66 Away xG = away_avg_scored 0.90 × home_avg_conceded 1.20 = 1.08 Total xG = 2.66 + 1.08 = 3.74

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.74 P(Over 2.5) = 1 - PoissonCDF(2, 3.74) = 72.1% P(Under 2.5) = 27.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 72.1% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.66) = 0.930 P(Away Scores) = 1 - exp(-1.08) = 0.660 BTTS YES = 0.930 × 0.660 × 100 = 61.4% BTTS NO = 38.6% Result: BTTS YES (confidence: 61.4% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.50 + away_avg 3.80 = 8.30 P(Over 9.5) = 1 - PoissonCDF(9, 8.30) = 32.1% P(Under 9.5) = 67.9% Result: UNDER 9.5 (confidence: 67.9% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 46.7% | Draw: 13.0% | Away: 40.2% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 72.1% | Under: 27.9% Prediction: OVER 2.5 → STRONG (72.1%) BTTS: Yes: 61.4% | No: 38.6% Prediction: YES → MEDIUM (61.4%) CORNERS: Over 9.5: 32.1% | Under 9.5: 67.9% Prediction: UNDER 9.5 → MEDIUM (67.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (72.1% → STRONG) | BTTS: YES (61.4% → MEDIUM) | Corners: UNDER 9.5 (67.9% → MEDIUM) Betslip Mark: HIGH

🤖 Loading AI analysis from Groq…

Leeds United vs Brighton & Hove Albion

📅 Sun 17 May, 10:00

HOME WIN

MODERATE

⚽ HOME WIN 48.2% (H:48.2 D:13 A:38.7) ⛔ AVOID

⚽ BTTS: YES 63.7% (Y:63.7 N:36.3) MEDIUM

📈 OVER 2.5 62.8% xG:3.24 (O:62.8 U:37.2) MEDIUM

🚩 OVER 9.5 50.4% exp:9.7 (O:50.4 U:49.6) ⛔ AVOID

xG 1.8 – 1.44 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (62.8% → MEDIUM) BTTS: YES (63.7% → MEDIUM)

⌂ Leeds United: 10 home matches only (W4/D3/L3), avg 1.5 scored, 4.3 SOT, 6.1 corners ✈ Brighton & Hove Albion: 10 away matches only (W3/D3/L4), avg 1.2 scored, 4.1 SOT, 3.6 corners

1Step 1: Dataset Collection

Leeds United dataset: 10 home matches only Brighton & Hove Albion dataset: 10 away matches only Min required: 3 per team

2Step 2: Leeds United Statistics (dataset: home matches only)

3Step 3: Brighton & Hove Albion Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Leeds United Win Strength = (home_win_rate 0.400 + away_loss_rate 0.400) / 2 = 0.400 Brighton & Hove Albion Win Strength = (away_win_rate 0.300 + home_loss_rate 0.300) / 2 = 0.300

5Step 5: Goal Strength Factor

Leeds United Goal Strength = home_avg_scored 1.50 / (away_avg_conceded 1.20 + 0.01) = 1.240 Brighton & Hove Albion Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 1.20 + 0.01) = 0.992

6Step 6: Shot on Target Strength

Leeds United SOT Strength = 4.30 / (4.10 + 0.01) = 1.046 Brighton & Hove Albion SOT Strength = 4.10 / (4.30 + 0.01) = 0.951

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.571 Away=0.428 (sum=0.999) Goal: Home=0.555 Away=0.444 (sum=1.000) Shot: Home=0.524 Away=0.476 (sum=0.999) Form: Home=0.555 Away=0.444 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Leeds United Score = (0.571 × 0.35) + (0.555 × 0.30) + (0.524 × 0.20) + (0.555 × 0.15) = 0.5542 Brighton & Hove Albion Score = (0.428 × 0.35) + (0.444 × 0.30) + (0.476 × 0.20) + (0.444 × 0.15) = 0.4449

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5542 | Away Score: 0.4449 | Diff: 0.1094 Normalized: Home=48.2% | Away=38.7% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 48.2% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.50 × away_avg_conceded 1.20 = 1.80 Away xG = away_avg_scored 1.20 × home_avg_conceded 1.20 = 1.44 Total xG = 1.80 + 1.44 = 3.24

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.24 P(Over 2.5) = 1 - PoissonCDF(2, 3.24) = 62.8% P(Under 2.5) = 37.2% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 62.8% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.80) = 0.835 P(Away Scores) = 1 - exp(-1.44) = 0.763 BTTS YES = 0.835 × 0.763 × 100 = 63.7% BTTS NO = 36.3% Result: BTTS YES (confidence: 63.7% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.10 + away_avg 3.60 = 9.70 P(Over 9.5) = 1 - PoissonCDF(9, 9.70) = 50.4% P(Under 9.5) = 49.6% Result: OVER 9.5 (confidence: 50.4% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 48.2% | Draw: 13.0% | Away: 38.7% Prediction: HOME WIN → AVOID (48.2%) [AVOID] OVER/UNDER 2.5: Over: 62.8% | Under: 37.2% Prediction: OVER 2.5 → MEDIUM (62.8%) BTTS: Yes: 63.7% | No: 36.3% Prediction: YES → MEDIUM (63.7%) CORNERS: Over 9.5: 50.4% | Under 9.5: 49.6% Prediction: OVER 9.5 → AVOID (50.4%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (62.8% → MEDIUM) | BTTS: YES (63.7% → MEDIUM) Betslip Mark: MEDIUM

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Wolverhampton Wanderers vs Fulham

📅 Sun 17 May, 10:00

DRAW

STRONG

⚽ DRAW 13% (H:43.7 D:13 A:43.2) ⛔ AVOID

⚽ BTTS: NO 40.9% (Y:59.1 N:40.9) ⛔ AVOID

📈 OVER 2.5 56.1% xG:2.93 (O:56.1 U:43.9) WEAK

🚩 UNDER 9.5 77.6% exp:7.5 (O:22.4 U:77.6) STRONG

xG 1.43 – 1.5 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (56.1% → WEAK) Corners: UNDER 9.5 (77.6% → STRONG)

⌂ Wolverhampton Wanderers: 10 home matches only (W3/D2/L5), avg 1.1 scored, 3.3 SOT, 3 corners ✈ Fulham: 10 away matches only (W3/D3/L4), avg 1 scored, 3.3 SOT, 4.5 corners

1Step 1: Dataset Collection

Wolverhampton Wanderers dataset: 10 home matches only Fulham dataset: 10 away matches only Min required: 3 per team

2Step 2: Wolverhampton Wanderers Statistics (dataset: home matches only)

3Step 3: Fulham Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Wolverhampton Wanderers Win Strength = (home_win_rate 0.300 + away_loss_rate 0.400) / 2 = 0.350 Fulham Win Strength = (away_win_rate 0.300 + home_loss_rate 0.500) / 2 = 0.400

5Step 5: Goal Strength Factor

Wolverhampton Wanderers Goal Strength = home_avg_scored 1.10 / (away_avg_conceded 1.30 + 0.01) = 0.840 Fulham Goal Strength = away_avg_scored 1.00 / (home_avg_conceded 1.50 + 0.01) = 0.662

6Step 6: Shot on Target Strength

Wolverhampton Wanderers SOT Strength = 3.30 / (3.30 + 0.01) = 0.997 Fulham SOT Strength = 3.30 / (3.30 + 0.01) = 0.997

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.466 Away=0.533 (sum=0.999) Goal: Home=0.559 Away=0.441 (sum=0.999) Shot: Home=0.500 Away=0.500 (sum=0.999) Form: Home=0.478 Away=0.521 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Wolverhampton Wanderers Score = (0.466 × 0.35) + (0.559 × 0.30) + (0.500 × 0.20) + (0.478 × 0.15) = 0.5023 Fulham Score = (0.533 × 0.35) + (0.441 × 0.30) + (0.500 × 0.20) + (0.521 × 0.15) = 0.4967

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5023 | Away Score: 0.4967 | Diff: 0.0056 Normalized: Home=43.7% | Away=43.2% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.10 × away_avg_conceded 1.30 = 1.43 Away xG = away_avg_scored 1.00 × home_avg_conceded 1.50 = 1.50 Total xG = 1.43 + 1.50 = 2.93

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.93 P(Over 2.5) = 1 - PoissonCDF(2, 2.93) = 56.1% P(Under 2.5) = 43.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 56.1% → WEAK)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.43) = 0.761 P(Away Scores) = 1 - exp(-1.50) = 0.777 BTTS YES = 0.761 × 0.777 × 100 = 59.1% BTTS NO = 40.9% Result: BTTS NO (confidence: 40.9% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 3.00 + away_avg 4.50 = 7.50 P(Over 9.5) = 1 - PoissonCDF(9, 7.50) = 22.4% P(Under 9.5) = 77.6% Result: UNDER 9.5 (confidence: 77.6% → STRONG)

14Step 14: Final Verdict

MATCH RESULT: Home: 43.7% | Draw: 13.0% | Away: 43.2% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 56.1% | Under: 43.9% Prediction: OVER 2.5 → WEAK (56.1%) BTTS: Yes: 59.1% | No: 40.9% Prediction: NO → AVOID (40.9%) [AVOID] CORNERS: Over 9.5: 22.4% | Under 9.5: 77.6% Prediction: UNDER 9.5 → STRONG (77.6%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (56.1% → WEAK) | Corners: UNDER 9.5 (77.6% → STRONG) Betslip Mark: HIGH

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Newcastle United vs West Ham United

📅 Sun 17 May, 12:30

HOME WIN

STRONG

⚽ HOME WIN 52.7% (H:52.7 D:13 A:34.2) ⛔ AVOID

⚽ BTTS: YES 81.7% (Y:81.7 N:18.3) STRONG

📈 OVER 2.5 88.7% xG:5.14 (O:88.7 U:11.3) STRONG

🚩 OVER 9.5 67% exp:11.1 (O:67 U:33) STRONG

xG 3.24 – 1.9 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (88.7% → STRONG) BTTS: YES (81.7% → STRONG) Corners: OVER 9.5 (67.0% → STRONG)

⌂ Newcastle United: 10 home matches only (W4/D1/L5), avg 1.8 scored, 5.4 SOT, 6.6 corners ✈ West Ham United: 10 away matches only (W3/D2/L5), avg 1 scored, 3.4 SOT, 4.5 corners

1Step 1: Dataset Collection

Newcastle United dataset: 10 home matches only West Ham United dataset: 10 away matches only Min required: 3 per team

2Step 2: Newcastle United Statistics (dataset: home matches only)

3Step 3: West Ham United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Newcastle United Win Strength = (home_win_rate 0.400 + away_loss_rate 0.500) / 2 = 0.450 West Ham United Win Strength = (away_win_rate 0.300 + home_loss_rate 0.500) / 2 = 0.400

5Step 5: Goal Strength Factor

Newcastle United Goal Strength = home_avg_scored 1.80 / (away_avg_conceded 1.80 + 0.01) = 0.994 West Ham United Goal Strength = away_avg_scored 1.00 / (home_avg_conceded 1.90 + 0.01) = 0.524

6Step 6: Shot on Target Strength

Newcastle United SOT Strength = 5.40 / (3.40 + 0.01) = 1.584 West Ham United SOT Strength = 3.40 / (5.40 + 0.01) = 0.628

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.529 Away=0.470 (sum=0.999) Goal: Home=0.655 Away=0.345 (sum=0.999) Shot: Home=0.716 Away=0.284 (sum=1.000) Form: Home=0.541 Away=0.458 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Newcastle United Score = (0.529 × 0.35) + (0.655 × 0.30) + (0.716 × 0.20) + (0.541 × 0.15) = 0.6057 West Ham United Score = (0.470 × 0.35) + (0.345 × 0.30) + (0.284 × 0.20) + (0.458 × 0.15) = 0.3934

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6057 | Away Score: 0.3934 | Diff: 0.2124 Normalized: Home=52.7% | Away=34.2% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 52.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.80 × away_avg_conceded 1.80 = 3.24 Away xG = away_avg_scored 1.00 × home_avg_conceded 1.90 = 1.90 Total xG = 3.24 + 1.90 = 5.14

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 5.14 P(Over 2.5) = 1 - PoissonCDF(2, 5.14) = 88.7% P(Under 2.5) = 11.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 88.7% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.24) = 0.961 P(Away Scores) = 1 - exp(-1.90) = 0.850 BTTS YES = 0.961 × 0.850 × 100 = 81.7% BTTS NO = 18.3% Result: BTTS YES (confidence: 81.7% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.60 + away_avg 4.50 = 11.10 P(Over 9.5) = 1 - PoissonCDF(9, 11.10) = 67.0% P(Under 9.5) = 33.0% Result: OVER 9.5 (confidence: 67.0% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 52.7% | Draw: 13.0% | Away: 34.2% Prediction: HOME WIN → AVOID (52.7%) [AVOID] OVER/UNDER 2.5: Over: 88.7% | Under: 11.3% Prediction: OVER 2.5 → STRONG (88.7%) BTTS: Yes: 81.7% | No: 18.3% Prediction: YES → STRONG (81.7%) CORNERS: Over 9.5: 67.0% | Under 9.5: 33.0% Prediction: OVER 9.5 → STRONG (67.0%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (88.7% → STRONG) | BTTS: YES (81.7% → STRONG) | Corners: OVER 9.5 (67.0% → STRONG) Betslip Mark: HIGH

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Arsenal vs Burnley

📅 Mon 18 May, 15:00

HOME WIN

STRONG

⚽ HOME WIN 61% (H:61 D:13 A:26) ⛔ AVOID

⚽ BTTS: NO 45.5% (Y:54.5 N:45.5) ⛔ AVOID

📈 OVER 2.5 85.7% xG:4.8 (O:85.7 U:14.3) STRONG

🚩 OVER 9.5 59.1% exp:10.4 (O:59.1 U:40.9) WEAK

xG 3.99 – 0.81 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (85.7% → STRONG) Corners: OVER 9.5 (59.1% → WEAK)

⌂ Arsenal: 10 home matches only (W7/D1/L2), avg 1.9 scored, 4.7 SOT, 6.5 corners ✈ Burnley: 10 away matches only (W1/D3/L6), avg 0.9 scored, 2.5 SOT, 3.9 corners

1Step 1: Dataset Collection

Arsenal dataset: 10 home matches only Burnley dataset: 10 away matches only Min required: 3 per team

2Step 2: Arsenal Statistics (dataset: home matches only)

3Step 3: Burnley Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Arsenal Win Strength = (home_win_rate 0.700 + away_loss_rate 0.600) / 2 = 0.650 Burnley Win Strength = (away_win_rate 0.100 + home_loss_rate 0.200) / 2 = 0.150

5Step 5: Goal Strength Factor

Arsenal Goal Strength = home_avg_scored 1.90 / (away_avg_conceded 2.10 + 0.01) = 0.900 Burnley Goal Strength = away_avg_scored 0.90 / (home_avg_conceded 0.90 + 0.01) = 0.989

6Step 6: Shot on Target Strength

Arsenal SOT Strength = 4.70 / (2.50 + 0.01) = 1.873 Burnley SOT Strength = 2.50 / (4.70 + 0.01) = 0.531

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.811 Away=0.187 (sum=0.999) Goal: Home=0.476 Away=0.523 (sum=0.999) Shot: Home=0.779 Away=0.221 (sum=1.000) Form: Home=0.785 Away=0.214 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Arsenal Score = (0.811 × 0.35) + (0.476 × 0.30) + (0.779 × 0.20) + (0.785 × 0.15) = 0.7004 Burnley Score = (0.187 × 0.35) + (0.523 × 0.30) + (0.221 × 0.20) + (0.214 × 0.15) = 0.2988

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.7004 | Away Score: 0.2988 | Diff: 0.4017 Normalized: Home=61.0% | Away=26.0% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 61.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.90 × away_avg_conceded 2.10 = 3.99 Away xG = away_avg_scored 0.90 × home_avg_conceded 0.90 = 0.81 Total xG = 3.99 + 0.81 = 4.80

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.80 P(Over 2.5) = 1 - PoissonCDF(2, 4.80) = 85.7% P(Under 2.5) = 14.3% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 85.7% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.99) = 0.982 P(Away Scores) = 1 - exp(-0.81) = 0.555 BTTS YES = 0.982 × 0.555 × 100 = 54.5% BTTS NO = 45.5% Result: BTTS NO (confidence: 45.5% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.50 + away_avg 3.90 = 10.40 P(Over 9.5) = 1 - PoissonCDF(9, 10.40) = 59.1% P(Under 9.5) = 40.9% Result: OVER 9.5 (confidence: 59.1% → WEAK)

14Step 14: Final Verdict

MATCH RESULT: Home: 61.0% | Draw: 13.0% | Away: 26.0% Prediction: HOME WIN → AVOID (61.0%) [AVOID] OVER/UNDER 2.5: Over: 85.7% | Under: 14.3% Prediction: OVER 2.5 → STRONG (85.7%) BTTS: Yes: 54.5% | No: 45.5% Prediction: NO → AVOID (45.5%) [AVOID] CORNERS: Over 9.5: 59.1% | Under 9.5: 40.9% Prediction: OVER 9.5 → WEAK (59.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (85.7% → STRONG) | Corners: OVER 9.5 (59.1% → WEAK) Betslip Mark: HIGH

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AFC Bournemouth vs Manchester United

📅 Tue 19 May, 14:30

DRAW

MODERATE

⚽ DRAW 13% (H:39.3 D:13 A:47.6) ⛔ AVOID

⚽ BTTS: NO 44.2% (Y:55.8 N:44.2) ⛔ AVOID

📈 OVER 2.5 57.9% xG:3.01 (O:57.9 U:42.1) WEAK

🚩 OVER 9.5 79.9% exp:12.5 (O:79.9 U:20.1) STRONG

xG 1.05 – 1.96 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (57.9% → WEAK) Corners: OVER 9.5 (79.9% → STRONG)

⌂ AFC Bournemouth: 10 home matches only (W2/D7/L1), avg 1.5 scored, 4.5 SOT, 6.3 corners ✈ Manchester United: 10 away matches only (W6/D3/L1), avg 1.4 scored, 5.2 SOT, 6.2 corners

1Step 1: Dataset Collection

AFC Bournemouth dataset: 10 home matches only Manchester United dataset: 10 away matches only Min required: 3 per team

2Step 2: AFC Bournemouth Statistics (dataset: home matches only)

3Step 3: Manchester United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

AFC Bournemouth Win Strength = (home_win_rate 0.200 + away_loss_rate 0.100) / 2 = 0.150 Manchester United Win Strength = (away_win_rate 0.600 + home_loss_rate 0.100) / 2 = 0.350

5Step 5: Goal Strength Factor

AFC Bournemouth Goal Strength = home_avg_scored 1.50 / (away_avg_conceded 0.70 + 0.01) = 2.113 Manchester United Goal Strength = away_avg_scored 1.40 / (home_avg_conceded 1.40 + 0.01) = 0.993

6Step 6: Shot on Target Strength

AFC Bournemouth SOT Strength = 4.50 / (5.20 + 0.01) = 0.864 Manchester United SOT Strength = 5.20 / (4.50 + 0.01) = 1.153

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.299 Away=0.699 (sum=0.998) Goal: Home=0.680 Away=0.320 (sum=1.000) Shot: Home=0.428 Away=0.571 (sum=1.000) Form: Home=0.382 Away=0.617 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

AFC Bournemouth Score = (0.299 × 0.35) + (0.680 × 0.30) + (0.428 × 0.20) + (0.382 × 0.15) = 0.4517 Manchester United Score = (0.699 × 0.35) + (0.320 × 0.30) + (0.571 × 0.20) + (0.617 × 0.15) = 0.5473

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4517 | Away Score: 0.5473 | Diff: 0.0955 Normalized: Home=39.3% | Away=47.6% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.50 × away_avg_conceded 0.70 = 1.05 Away xG = away_avg_scored 1.40 × home_avg_conceded 1.40 = 1.96 Total xG = 1.05 + 1.96 = 3.01

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.01 P(Over 2.5) = 1 - PoissonCDF(2, 3.01) = 57.9% P(Under 2.5) = 42.1% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 57.9% → WEAK)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.05) = 0.650 P(Away Scores) = 1 - exp(-1.96) = 0.859 BTTS YES = 0.650 × 0.859 × 100 = 55.8% BTTS NO = 44.2% Result: BTTS NO (confidence: 44.2% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.30 + away_avg 6.20 = 12.50 P(Over 9.5) = 1 - PoissonCDF(9, 12.50) = 79.9% P(Under 9.5) = 20.1% Result: OVER 9.5 (confidence: 79.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 39.3% | Draw: 13.0% | Away: 47.6% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 57.9% | Under: 42.1% Prediction: OVER 2.5 → WEAK (57.9%) BTTS: Yes: 55.8% | No: 44.2% Prediction: NO → AVOID (44.2%) [AVOID] CORNERS: Over 9.5: 79.9% | Under 9.5: 20.1% Prediction: OVER 9.5 → STRONG (79.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (57.9% → WEAK) | Corners: OVER 9.5 (79.9% → STRONG) Betslip Mark: HIGH

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Chelsea vs Tottenham Hotspur

📅 Tue 19 May, 15:15

HOME WIN

MODERATE

⚽ HOME WIN 48.1% (H:48.1 D:13 A:38.9) ⛔ AVOID

⚽ BTTS: NO 43.5% (Y:56.5 N:43.5) ⛔ AVOID

📈 OVER 2.5 56.3% xG:2.94 (O:56.3 U:43.7) WEAK

🚩 OVER 9.5 60.3% exp:10.5 (O:60.3 U:39.7) MEDIUM

xG 1.82 – 1.12 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (56.3% → WEAK) Corners: OVER 9.5 (60.3% → MEDIUM)

⌂ Chelsea: 10 home matches only (W3/D3/L4), avg 1.3 scored, 3.4 SOT, 6.6 corners ✈ Tottenham Hotspur: 10 away matches only (W2/D3/L5), avg 0.8 scored, 4.1 SOT, 3.9 corners

1Step 1: Dataset Collection

Chelsea dataset: 10 home matches only Tottenham Hotspur dataset: 10 away matches only Min required: 3 per team

2Step 2: Chelsea Statistics (dataset: home matches only)

3Step 3: Tottenham Hotspur Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Chelsea Win Strength = (home_win_rate 0.300 + away_loss_rate 0.500) / 2 = 0.400 Tottenham Hotspur Win Strength = (away_win_rate 0.200 + home_loss_rate 0.400) / 2 = 0.300

5Step 5: Goal Strength Factor

Chelsea Goal Strength = home_avg_scored 1.30 / (away_avg_conceded 1.40 + 0.01) = 0.922 Tottenham Hotspur Goal Strength = away_avg_scored 0.80 / (home_avg_conceded 1.40 + 0.01) = 0.567

6Step 6: Shot on Target Strength

Chelsea SOT Strength = 3.40 / (4.10 + 0.01) = 0.827 Tottenham Hotspur SOT Strength = 4.10 / (3.40 + 0.01) = 1.202

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.571 Away=0.428 (sum=0.999) Goal: Home=0.619 Away=0.381 (sum=0.999) Shot: Home=0.407 Away=0.592 (sum=1.000) Form: Home=0.571 Away=0.428 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Chelsea Score = (0.571 × 0.35) + (0.619 × 0.30) + (0.407 × 0.20) + (0.571 × 0.15) = 0.5524 Tottenham Hotspur Score = (0.428 × 0.35) + (0.381 × 0.30) + (0.592 × 0.20) + (0.428 × 0.15) = 0.4466

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5524 | Away Score: 0.4466 | Diff: 0.1058 Normalized: Home=48.1% | Away=38.9% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 48.1% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.30 × away_avg_conceded 1.40 = 1.82 Away xG = away_avg_scored 0.80 × home_avg_conceded 1.40 = 1.12 Total xG = 1.82 + 1.12 = 2.94

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.94 P(Over 2.5) = 1 - PoissonCDF(2, 2.94) = 56.3% P(Under 2.5) = 43.7% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 56.3% → WEAK)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.82) = 0.838 P(Away Scores) = 1 - exp(-1.12) = 0.674 BTTS YES = 0.838 × 0.674 × 100 = 56.5% BTTS NO = 43.5% Result: BTTS NO (confidence: 43.5% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.60 + away_avg 3.90 = 10.50 P(Over 9.5) = 1 - PoissonCDF(9, 10.50) = 60.3% P(Under 9.5) = 39.7% Result: OVER 9.5 (confidence: 60.3% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 48.1% | Draw: 13.0% | Away: 38.9% Prediction: HOME WIN → AVOID (48.1%) [AVOID] OVER/UNDER 2.5: Over: 56.3% | Under: 43.7% Prediction: OVER 2.5 → WEAK (56.3%) BTTS: Yes: 56.5% | No: 43.5% Prediction: NO → AVOID (43.5%) [AVOID] CORNERS: Over 9.5: 60.3% | Under 9.5: 39.7% Prediction: OVER 9.5 → MEDIUM (60.3%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (56.3% → WEAK) | Corners: OVER 9.5 (60.3% → MEDIUM) Betslip Mark: MEDIUM

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Brighton & Hove Albion vs Manchester United

📅 Sun 24 May, 11:00

AWAY WIN

MODERATE

⚽ AWAY WIN 49.7% (H:37.2 D:13 A:49.7) ⛔ AVOID

⚽ BTTS: NO 64.5% (Y:35.5 N:64.5) ⛔ AVOID

📈 UNDER 2.5 72.5% xG:1.82 (O:27.5 U:72.5) STRONG

🚩 OVER 9.5 72.1% exp:11.6 (O:72.1 U:27.9) STRONG

xG 0.84 – 0.98 HIGH

✅ BETTING OPPORTUNITY

Goals: UNDER 2.5 (72.5% → STRONG) Corners: OVER 9.5 (72.1% → STRONG)

⌂ Brighton & Hove Albion: 10 home matches only (W4/D4/L2), avg 1.2 scored, 4.7 SOT, 5.4 corners ✈ Manchester United: 10 away matches only (W6/D3/L1), avg 1.4 scored, 5.2 SOT, 6.2 corners

1Step 1: Dataset Collection

Brighton & Hove Albion dataset: 10 home matches only Manchester United dataset: 10 away matches only Min required: 3 per team

2Step 2: Brighton & Hove Albion Statistics (dataset: home matches only)

3Step 3: Manchester United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Brighton & Hove Albion Win Strength = (home_win_rate 0.400 + away_loss_rate 0.100) / 2 = 0.250 Manchester United Win Strength = (away_win_rate 0.600 + home_loss_rate 0.200) / 2 = 0.400

5Step 5: Goal Strength Factor

Brighton & Hove Albion Goal Strength = home_avg_scored 1.20 / (away_avg_conceded 0.70 + 0.01) = 1.690 Manchester United Goal Strength = away_avg_scored 1.40 / (home_avg_conceded 0.70 + 0.01) = 1.972

6Step 6: Shot on Target Strength

Brighton & Hove Albion SOT Strength = 4.70 / (5.20 + 0.01) = 0.902 Manchester United SOT Strength = 5.20 / (4.70 + 0.01) = 1.104

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.384 Away=0.614 (sum=0.998) Goal: Home=0.461 Away=0.538 (sum=1.000) Shot: Home=0.449 Away=0.550 (sum=1.000) Form: Home=0.432 Away=0.567 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Brighton & Hove Albion Score = (0.384 × 0.35) + (0.461 × 0.30) + (0.449 × 0.20) + (0.432 × 0.15) = 0.4275 Manchester United Score = (0.614 × 0.35) + (0.538 × 0.30) + (0.550 × 0.20) + (0.567 × 0.15) = 0.5716

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4275 | Away Score: 0.5716 | Diff: 0.1441 Normalized: Home=37.2% | Away=49.7% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 49.7% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.20 × away_avg_conceded 0.70 = 0.84 Away xG = away_avg_scored 1.40 × home_avg_conceded 0.70 = 0.98 Total xG = 0.84 + 0.98 = 1.82

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 1.82 P(Over 2.5) = 1 - PoissonCDF(2, 1.82) = 27.5% P(Under 2.5) = 72.5% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: UNDER 2.5 (confidence: 72.5% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-0.84) = 0.568 P(Away Scores) = 1 - exp(-0.98) = 0.625 BTTS YES = 0.568 × 0.625 × 100 = 35.5% BTTS NO = 64.5% Result: BTTS NO (confidence: 64.5% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.40 + away_avg 6.20 = 11.60 P(Over 9.5) = 1 - PoissonCDF(9, 11.60) = 72.1% P(Under 9.5) = 27.9% Result: OVER 9.5 (confidence: 72.1% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 37.2% | Draw: 13.0% | Away: 49.7% Prediction: AWAY WIN → AVOID (49.7%) [AVOID] OVER/UNDER 2.5: Over: 27.5% | Under: 72.5% Prediction: UNDER 2.5 → STRONG (72.5%) BTTS: Yes: 35.5% | No: 64.5% Prediction: NO → AVOID (64.5%) [AVOID] CORNERS: Over 9.5: 72.1% | Under 9.5: 27.9% Prediction: OVER 9.5 → STRONG (72.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: UNDER 2.5 (72.5% → STRONG) | Corners: OVER 9.5 (72.1% → STRONG) Betslip Mark: HIGH

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Burnley vs Wolverhampton Wanderers

📅 Sun 24 May, 11:00

DRAW

MODERATE

⚽ DRAW 13% (H:46.8 D:13 A:40.1) ⛔ AVOID

⚽ BTTS: NO 43.2% (Y:56.8 N:43.2) ⛔ AVOID

📈 OVER 2.5 56.3% xG:2.94 (O:56.3 U:43.7) WEAK

🚩 UNDER 9.5 64% exp:8.6 (O:36 U:64) MEDIUM

xG 1.8 – 1.14 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (56.3% → WEAK) Corners: UNDER 9.5 (64.0% → MEDIUM)

⌂ Burnley: 10 home matches only (W0/D4/L6), avg 1 scored, 3.3 SOT, 4.7 corners ✈ Wolverhampton Wanderers: 10 away matches only (W0/D4/L6), avg 0.6 scored, 3.4 SOT, 3.9 corners

1Step 1: Dataset Collection

Burnley dataset: 10 home matches only Wolverhampton Wanderers dataset: 10 away matches only Min required: 3 per team

2Step 2: Burnley Statistics (dataset: home matches only)

3Step 3: Wolverhampton Wanderers Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Burnley Win Strength = (home_win_rate 0.000 + away_loss_rate 0.600) / 2 = 0.300 Wolverhampton Wanderers Win Strength = (away_win_rate 0.000 + home_loss_rate 0.600) / 2 = 0.300

5Step 5: Goal Strength Factor

Burnley Goal Strength = home_avg_scored 1.00 / (away_avg_conceded 1.80 + 0.01) = 0.552 Wolverhampton Wanderers Goal Strength = away_avg_scored 0.60 / (home_avg_conceded 1.90 + 0.01) = 0.314

6Step 6: Shot on Target Strength

Burnley SOT Strength = 3.30 / (3.40 + 0.01) = 0.968 Wolverhampton Wanderers SOT Strength = 3.40 / (3.30 + 0.01) = 1.027

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.499 Away=0.499 (sum=0.998) Goal: Home=0.637 Away=0.362 (sum=0.999) Shot: Home=0.485 Away=0.515 (sum=0.999) Form: Home=0.498 Away=0.498 (sum=0.996)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Burnley Score = (0.499 × 0.35) + (0.637 × 0.30) + (0.485 × 0.20) + (0.498 × 0.15) = 0.5374 Wolverhampton Wanderers Score = (0.499 × 0.35) + (0.362 × 0.30) + (0.515 × 0.20) + (0.498 × 0.15) = 0.4610

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5374 | Away Score: 0.4610 | Diff: 0.0765 Normalized: Home=46.8% | Away=40.1% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.00 × away_avg_conceded 1.80 = 1.80 Away xG = away_avg_scored 0.60 × home_avg_conceded 1.90 = 1.14 Total xG = 1.80 + 1.14 = 2.94

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.94 P(Over 2.5) = 1 - PoissonCDF(2, 2.94) = 56.3% P(Under 2.5) = 43.7% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 56.3% → WEAK)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.80) = 0.835 P(Away Scores) = 1 - exp(-1.14) = 0.680 BTTS YES = 0.835 × 0.680 × 100 = 56.8% BTTS NO = 43.2% Result: BTTS NO (confidence: 43.2% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 3.90 = 8.60 P(Over 9.5) = 1 - PoissonCDF(9, 8.60) = 36.0% P(Under 9.5) = 64.0% Result: UNDER 9.5 (confidence: 64.0% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 46.8% | Draw: 13.0% | Away: 40.1% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 56.3% | Under: 43.7% Prediction: OVER 2.5 → WEAK (56.3%) BTTS: Yes: 56.8% | No: 43.2% Prediction: NO → AVOID (43.2%) [AVOID] CORNERS: Over 9.5: 36.0% | Under 9.5: 64.0% Prediction: UNDER 9.5 → MEDIUM (64.0%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (56.3% → WEAK) | Corners: UNDER 9.5 (64.0% → MEDIUM) Betslip Mark: MEDIUM

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Crystal Palace vs Arsenal

📅 Sun 24 May, 11:00

AWAY WIN

STRONG

⚽ AWAY WIN 59% (H:28 D:13 A:59) ⛔ AVOID

⚽ BTTS: NO 55.5% (Y:44.5 N:55.5) ⛔ AVOID

📈 OVER 2.5 54.5% xG:2.86 (O:54.5 U:45.5) ⛔ AVOID

🚩 OVER 9.5 52.9% exp:9.9 (O:52.9 U:47.1) ⛔ AVOID

xG 0.7 – 2.16 AVOID

⛔ NO BET MATCH

⌂ Crystal Palace: 10 home matches only (W2/D4/L4), avg 0.7 scored, 3.2 SOT, 4.7 corners ✈ Arsenal: 10 away matches only (W5/D3/L2), avg 1.8 scored, 4.6 SOT, 5.2 corners

1Step 1: Dataset Collection

Crystal Palace dataset: 10 home matches only Arsenal dataset: 10 away matches only Min required: 3 per team

2Step 2: Crystal Palace Statistics (dataset: home matches only)

3Step 3: Arsenal Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Crystal Palace Win Strength = (home_win_rate 0.200 + away_loss_rate 0.200) / 2 = 0.200 Arsenal Win Strength = (away_win_rate 0.500 + home_loss_rate 0.400) / 2 = 0.450

5Step 5: Goal Strength Factor

Crystal Palace Goal Strength = home_avg_scored 0.70 / (away_avg_conceded 1.00 + 0.01) = 0.693 Arsenal Goal Strength = away_avg_scored 1.80 / (home_avg_conceded 1.20 + 0.01) = 1.488

6Step 6: Shot on Target Strength

Crystal Palace SOT Strength = 3.20 / (4.60 + 0.01) = 0.694 Arsenal SOT Strength = 4.60 / (3.20 + 0.01) = 1.433

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.307 Away=0.691 (sum=0.998) Goal: Home=0.318 Away=0.682 (sum=1.000) Shot: Home=0.326 Away=0.673 (sum=1.000) Form: Home=0.357 Away=0.642 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Crystal Palace Score = (0.307 × 0.35) + (0.318 × 0.30) + (0.326 × 0.20) + (0.357 × 0.15) = 0.3216 Arsenal Score = (0.691 × 0.35) + (0.682 × 0.30) + (0.673 × 0.20) + (0.642 × 0.15) = 0.6775

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.3216 | Away Score: 0.6775 | Diff: 0.3559 Normalized: Home=28.0% | Away=59.0% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 59.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 0.70 × away_avg_conceded 1.00 = 0.70 Away xG = away_avg_scored 1.80 × home_avg_conceded 1.20 = 2.16 Total xG = 0.70 + 2.16 = 2.86

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.86 P(Over 2.5) = 1 - PoissonCDF(2, 2.86) = 54.5% P(Under 2.5) = 45.5% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 54.5% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-0.70) = 0.503 P(Away Scores) = 1 - exp(-2.16) = 0.885 BTTS YES = 0.503 × 0.885 × 100 = 44.5% BTTS NO = 55.5% Result: BTTS NO (confidence: 55.5% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 5.20 = 9.90 P(Over 9.5) = 1 - PoissonCDF(9, 9.90) = 52.9% P(Under 9.5) = 47.1% Result: OVER 9.5 (confidence: 52.9% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 28.0% | Draw: 13.0% | Away: 59.0% Prediction: AWAY WIN → AVOID (59.0%) [AVOID] OVER/UNDER 2.5: Over: 54.5% | Under: 45.5% Prediction: OVER 2.5 → AVOID (54.5%) [AVOID] BTTS: Yes: 44.5% | No: 55.5% Prediction: NO → AVOID (55.5%) [AVOID] CORNERS: Over 9.5: 52.9% | Under 9.5: 47.1% Prediction: OVER 9.5 → AVOID (52.9%) [AVOID] VERDICT: NO BET MATCH Active Markets: NONE Betslip Mark: AVOID

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Fulham vs Newcastle United

📅 Sun 24 May, 11:00

HOME WIN

STRONG

⚽ HOME WIN 52.6% (H:52.6 D:13 A:34.4) ⛔ AVOID

⚽ BTTS: NO 46.1% (Y:53.9 N:46.1) ⛔ AVOID

📈 OVER 2.5 56.3% xG:2.94 (O:56.3 U:43.7) WEAK

🚩 OVER 9.5 62.6% exp:10.7 (O:62.6 U:37.4) MEDIUM

xG 1.95 – 0.99 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (56.3% → WEAK) Corners: OVER 9.5 (62.6% → MEDIUM)

⌂ Fulham: 10 home matches only (W6/D1/L3), avg 1.5 scored, 4 SOT, 4.4 corners ✈ Newcastle United: 10 away matches only (W3/D1/L6), avg 0.9 scored, 4.1 SOT, 6.3 corners

1Step 1: Dataset Collection

Fulham dataset: 10 home matches only Newcastle United dataset: 10 away matches only Min required: 3 per team

2Step 2: Fulham Statistics (dataset: home matches only)

3Step 3: Newcastle United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Fulham Win Strength = (home_win_rate 0.600 + away_loss_rate 0.600) / 2 = 0.600 Newcastle United Win Strength = (away_win_rate 0.300 + home_loss_rate 0.300) / 2 = 0.300

5Step 5: Goal Strength Factor

Fulham Goal Strength = home_avg_scored 1.50 / (away_avg_conceded 1.30 + 0.01) = 1.145 Newcastle United Goal Strength = away_avg_scored 0.90 / (home_avg_conceded 1.10 + 0.01) = 0.811

6Step 6: Shot on Target Strength

Fulham SOT Strength = 4.00 / (4.10 + 0.01) = 0.973 Newcastle United SOT Strength = 4.10 / (4.00 + 0.01) = 1.022

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.666 Away=0.333 (sum=0.999) Goal: Home=0.585 Away=0.414 (sum=0.999) Shot: Home=0.487 Away=0.512 (sum=0.999) Form: Home=0.655 Away=0.344 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Fulham Score = (0.666 × 0.35) + (0.585 × 0.30) + (0.487 × 0.20) + (0.655 × 0.15) = 0.6043 Newcastle United Score = (0.333 × 0.35) + (0.414 × 0.30) + (0.512 × 0.20) + (0.344 × 0.15) = 0.3949

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6043 | Away Score: 0.3949 | Diff: 0.2094 Normalized: Home=52.6% | Away=34.4% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 52.6% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.50 × away_avg_conceded 1.30 = 1.95 Away xG = away_avg_scored 0.90 × home_avg_conceded 1.10 = 0.99 Total xG = 1.95 + 0.99 = 2.94

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.94 P(Over 2.5) = 1 - PoissonCDF(2, 2.94) = 56.3% P(Under 2.5) = 43.7% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 56.3% → WEAK)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.95) = 0.858 P(Away Scores) = 1 - exp(-0.99) = 0.628 BTTS YES = 0.858 × 0.628 × 100 = 53.9% BTTS NO = 46.1% Result: BTTS NO (confidence: 46.1% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.40 + away_avg 6.30 = 10.70 P(Over 9.5) = 1 - PoissonCDF(9, 10.70) = 62.6% P(Under 9.5) = 37.4% Result: OVER 9.5 (confidence: 62.6% → MEDIUM)

14Step 14: Final Verdict

MATCH RESULT: Home: 52.6% | Draw: 13.0% | Away: 34.4% Prediction: HOME WIN → AVOID (52.6%) [AVOID] OVER/UNDER 2.5: Over: 56.3% | Under: 43.7% Prediction: OVER 2.5 → WEAK (56.3%) BTTS: Yes: 53.9% | No: 46.1% Prediction: NO → AVOID (46.1%) [AVOID] CORNERS: Over 9.5: 62.6% | Under 9.5: 37.4% Prediction: OVER 9.5 → MEDIUM (62.6%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (56.3% → WEAK) | Corners: OVER 9.5 (62.6% → MEDIUM) Betslip Mark: MEDIUM

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Liverpool vs Brentford

📅 Sun 24 May, 11:00

HOME WIN

MODERATE

⚽ HOME WIN 49.2% (H:49.2 D:13 A:37.7) ⛔ AVOID

⚽ BTTS: YES 69.2% (Y:69.2 N:30.8) MEDIUM

📈 OVER 2.5 77.3% xG:4.08 (O:77.3 U:22.7) STRONG

🚩 OVER 9.5 65.9% exp:11 (O:65.9 U:34.1) STRONG

xG 2.73 – 1.35 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (77.3% → STRONG) BTTS: YES (69.2% → MEDIUM) Corners: OVER 9.5 (65.9% → STRONG)

⌂ Liverpool: 10 home matches only (W6/D3/L1), avg 2.1 scored, 5.3 SOT, 6.1 corners ✈ Brentford: 10 away matches only (W5/D2/L3), avg 1.5 scored, 4.1 SOT, 4.9 corners

1Step 1: Dataset Collection

Liverpool dataset: 10 home matches only Brentford dataset: 10 away matches only Min required: 3 per team

2Step 2: Liverpool Statistics (dataset: home matches only)

3Step 3: Brentford Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Liverpool Win Strength = (home_win_rate 0.600 + away_loss_rate 0.300) / 2 = 0.450 Brentford Win Strength = (away_win_rate 0.500 + home_loss_rate 0.100) / 2 = 0.300

5Step 5: Goal Strength Factor

Liverpool Goal Strength = home_avg_scored 2.10 / (away_avg_conceded 1.30 + 0.01) = 1.603 Brentford Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 0.90 + 0.01) = 1.648

6Step 6: Shot on Target Strength

Liverpool SOT Strength = 5.30 / (4.10 + 0.01) = 1.290 Brentford SOT Strength = 4.10 / (5.30 + 0.01) = 0.772

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.599 Away=0.399 (sum=0.999) Goal: Home=0.493 Away=0.507 (sum=1.000) Shot: Home=0.625 Away=0.374 (sum=1.000) Form: Home=0.552 Away=0.447 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Liverpool Score = (0.599 × 0.35) + (0.493 × 0.30) + (0.625 × 0.20) + (0.552 × 0.15) = 0.5654 Brentford Score = (0.399 × 0.35) + (0.507 × 0.30) + (0.374 × 0.20) + (0.447 × 0.15) = 0.4338

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.5654 | Away Score: 0.4338 | Diff: 0.1317 Normalized: Home=49.2% | Away=37.7% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 49.2% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.10 × away_avg_conceded 1.30 = 2.73 Away xG = away_avg_scored 1.50 × home_avg_conceded 0.90 = 1.35 Total xG = 2.73 + 1.35 = 4.08

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.08 P(Over 2.5) = 1 - PoissonCDF(2, 4.08) = 77.3% P(Under 2.5) = 22.7% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 77.3% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.73) = 0.935 P(Away Scores) = 1 - exp(-1.35) = 0.741 BTTS YES = 0.935 × 0.741 × 100 = 69.2% BTTS NO = 30.8% Result: BTTS YES (confidence: 69.2% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.10 + away_avg 4.90 = 11.00 P(Over 9.5) = 1 - PoissonCDF(9, 11.00) = 65.9% P(Under 9.5) = 34.1% Result: OVER 9.5 (confidence: 65.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 49.2% | Draw: 13.0% | Away: 37.7% Prediction: HOME WIN → AVOID (49.2%) [AVOID] OVER/UNDER 2.5: Over: 77.3% | Under: 22.7% Prediction: OVER 2.5 → STRONG (77.3%) BTTS: Yes: 69.2% | No: 30.8% Prediction: YES → MEDIUM (69.2%) CORNERS: Over 9.5: 65.9% | Under 9.5: 34.1% Prediction: OVER 9.5 → STRONG (65.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (77.3% → STRONG) | BTTS: YES (69.2% → MEDIUM) | Corners: OVER 9.5 (65.9% → STRONG) Betslip Mark: HIGH

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Manchester United vs Aston Villa

📅 Sun 24 May, 11:00

HOME WIN

STRONG

⚽ HOME WIN 60% (H:60 D:13 A:27) MEDIUM

⚽ BTTS: YES 67.6% (Y:67.6 N:32.4) MEDIUM

📈 OVER 2.5 82.8% xG:4.51 (O:82.8 U:17.2) STRONG

🚩 OVER 9.5 65.9% exp:11 (O:65.9 U:34.1) STRONG

xG 3.3 – 1.21 HIGH

✅ BETTING OPPORTUNITY

Result: HOME WIN (60.0% → MEDIUM) Goals: OVER 2.5 (82.8% → STRONG) BTTS: YES (67.6% → MEDIUM) Corners: OVER 9.5 (65.9% → STRONG)

⌂ Manchester United: 10 home matches only (W8/D1/L1), avg 2.2 scored, 7.2 SOT, 6.4 corners ✈ Aston Villa: 10 away matches only (W3/D3/L4), avg 1.1 scored, 4.3 SOT, 4.6 corners

1Step 1: Dataset Collection

Manchester United dataset: 10 home matches only Aston Villa dataset: 10 away matches only Min required: 3 per team

2Step 2: Manchester United Statistics (dataset: home matches only)

3Step 3: Aston Villa Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Manchester United Win Strength = (home_win_rate 0.800 + away_loss_rate 0.400) / 2 = 0.600 Aston Villa Win Strength = (away_win_rate 0.300 + home_loss_rate 0.100) / 2 = 0.200

5Step 5: Goal Strength Factor

Manchester United Goal Strength = home_avg_scored 2.20 / (away_avg_conceded 1.50 + 0.01) = 1.457 Aston Villa Goal Strength = away_avg_scored 1.10 / (home_avg_conceded 1.10 + 0.01) = 0.991

6Step 6: Shot on Target Strength

Manchester United SOT Strength = 7.20 / (4.30 + 0.01) = 1.671 Aston Villa SOT Strength = 4.30 / (7.20 + 0.01) = 0.596

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.749 Away=0.250 (sum=0.999) Goal: Home=0.595 Away=0.405 (sum=1.000) Shot: Home=0.737 Away=0.263 (sum=1.000) Form: Home=0.675 Away=0.324 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Manchester United Score = (0.749 × 0.35) + (0.595 × 0.30) + (0.737 × 0.20) + (0.675 × 0.15) = 0.6892 Aston Villa Score = (0.250 × 0.35) + (0.405 × 0.30) + (0.263 × 0.20) + (0.324 × 0.15) = 0.3100

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.6892 | Away Score: 0.3100 | Diff: 0.3792 Normalized: Home=60.0% | Away=27.0% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: HOME WIN (confidence: 60.0% → MEDIUM)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 2.20 × away_avg_conceded 1.50 = 3.30 Away xG = away_avg_scored 1.10 × home_avg_conceded 1.10 = 1.21 Total xG = 3.30 + 1.21 = 4.51

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 4.51 P(Over 2.5) = 1 - PoissonCDF(2, 4.51) = 82.8% P(Under 2.5) = 17.2% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 82.8% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-3.30) = 0.963 P(Away Scores) = 1 - exp(-1.21) = 0.702 BTTS YES = 0.963 × 0.702 × 100 = 67.6% BTTS NO = 32.4% Result: BTTS YES (confidence: 67.6% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 6.40 + away_avg 4.60 = 11.00 P(Over 9.5) = 1 - PoissonCDF(9, 11.00) = 65.9% P(Under 9.5) = 34.1% Result: OVER 9.5 (confidence: 65.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 60.0% | Draw: 13.0% | Away: 27.0% Prediction: HOME WIN → MEDIUM (60.0%) OVER/UNDER 2.5: Over: 82.8% | Under: 17.2% Prediction: OVER 2.5 → STRONG (82.8%) BTTS: Yes: 67.6% | No: 32.4% Prediction: YES → MEDIUM (67.6%) CORNERS: Over 9.5: 65.9% | Under 9.5: 34.1% Prediction: OVER 9.5 → STRONG (65.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: HOME WIN (60.0% → MEDIUM) | Goals: OVER 2.5 (82.8% → STRONG) | BTTS: YES (67.6% → MEDIUM) | Corners: OVER 9.5 (65.9% → STRONG) Betslip Mark: HIGH

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Nottingham Forest vs AFC Bournemouth

📅 Sun 24 May, 11:00

AWAY WIN

STRONG

⚽ AWAY WIN 59.5% (H:27.5 D:13 A:59.5) WEAK

⚽ BTTS: NO 45.6% (Y:54.4 N:45.6) ⛔ AVOID

📈 OVER 2.5 50.1% xG:2.68 (O:50.1 U:49.9) ⛔ AVOID

🚩 OVER 9.5 65.9% exp:11 (O:65.9 U:34.1) STRONG

xG 1.4 – 1.28 MEDIUM

✅ BETTING OPPORTUNITY

Result: AWAY WIN (59.5% → WEAK) Corners: OVER 9.5 (65.9% → STRONG)

⌂ Nottingham Forest: 10 home matches only (W2/D5/L3), avg 1 scored, 3.7 SOT, 5.7 corners ✈ AFC Bournemouth: 10 away matches only (W4/D5/L1), avg 1.6 scored, 4.9 SOT, 5.3 corners

1Step 1: Dataset Collection

Nottingham Forest dataset: 10 home matches only AFC Bournemouth dataset: 10 away matches only Min required: 3 per team

2Step 2: Nottingham Forest Statistics (dataset: home matches only)

3Step 3: AFC Bournemouth Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Nottingham Forest Win Strength = (home_win_rate 0.200 + away_loss_rate 0.100) / 2 = 0.150 AFC Bournemouth Win Strength = (away_win_rate 0.400 + home_loss_rate 0.300) / 2 = 0.350

5Step 5: Goal Strength Factor

Nottingham Forest Goal Strength = home_avg_scored 1.00 / (away_avg_conceded 1.40 + 0.01) = 0.709 AFC Bournemouth Goal Strength = away_avg_scored 1.60 / (home_avg_conceded 0.80 + 0.01) = 1.975

6Step 6: Shot on Target Strength

Nottingham Forest SOT Strength = 3.70 / (4.90 + 0.01) = 0.754 AFC Bournemouth SOT Strength = 4.90 / (3.70 + 0.01) = 1.321

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.299 Away=0.699 (sum=0.998) Goal: Home=0.264 Away=0.736 (sum=1.000) Shot: Home=0.363 Away=0.636 (sum=1.000) Form: Home=0.392 Away=0.606 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Nottingham Forest Score = (0.299 × 0.35) + (0.264 × 0.30) + (0.363 × 0.20) + (0.392 × 0.15) = 0.3155 AFC Bournemouth Score = (0.699 × 0.35) + (0.736 × 0.30) + (0.636 × 0.20) + (0.606 × 0.15) = 0.6834

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.3155 | Away Score: 0.6834 | Diff: 0.3679 Normalized: Home=27.5% | Away=59.5% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 59.5% → WEAK)

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.00 × away_avg_conceded 1.40 = 1.40 Away xG = away_avg_scored 1.60 × home_avg_conceded 0.80 = 1.28 Total xG = 1.40 + 1.28 = 2.68

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 2.68 P(Over 2.5) = 1 - PoissonCDF(2, 2.68) = 50.1% P(Under 2.5) = 49.9% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 50.1% → AVOID) [AUTO-AVOID]

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.40) = 0.753 P(Away Scores) = 1 - exp(-1.28) = 0.722 BTTS YES = 0.753 × 0.722 × 100 = 54.4% BTTS NO = 45.6% Result: BTTS NO (confidence: 45.6% → AVOID) [AUTO-AVOID]

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.70 + away_avg 5.30 = 11.00 P(Over 9.5) = 1 - PoissonCDF(9, 11.00) = 65.9% P(Under 9.5) = 34.1% Result: OVER 9.5 (confidence: 65.9% → STRONG) [BOOSTED]

14Step 14: Final Verdict

MATCH RESULT: Home: 27.5% | Draw: 13.0% | Away: 59.5% Prediction: AWAY WIN → WEAK (59.5%) OVER/UNDER 2.5: Over: 50.1% | Under: 49.9% Prediction: OVER 2.5 → AVOID (50.1%) [AVOID] BTTS: Yes: 54.4% | No: 45.6% Prediction: NO → AVOID (45.6%) [AVOID] CORNERS: Over 9.5: 65.9% | Under 9.5: 34.1% Prediction: OVER 9.5 → STRONG (65.9%) VERDICT: BETTING OPPORTUNITY Active Markets: Result: AWAY WIN (59.5% → WEAK) | Corners: OVER 9.5 (65.9% → STRONG) Betslip Mark: MEDIUM

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Sunderland vs Chelsea

📅 Sun 24 May, 11:00

AWAY WIN

MODERATE

⚽ AWAY WIN 49.1% (H:37.9 D:13 A:49.1) ⛔ AVOID

⚽ BTTS: YES 63.7% (Y:63.7 N:36.3) MEDIUM

📈 OVER 2.5 62.8% xG:3.24 (O:62.8 U:37.2) MEDIUM

🚩 UNDER 9.5 56.1% exp:9.2 (O:43.9 U:56.1) WEAK

xG 1.44 – 1.8 MEDIUM

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (62.8% → MEDIUM) BTTS: YES (63.7% → MEDIUM) Corners: UNDER 9.5 (56.1% → WEAK)

⌂ Sunderland: 10 home matches only (W4/D2/L4), avg 0.9 scored, 3.4 SOT, 3.4 corners ✈ Chelsea: 10 away matches only (W3/D3/L4), avg 1.5 scored, 4.4 SOT, 5.8 corners

1Step 1: Dataset Collection

Sunderland dataset: 10 home matches only Chelsea dataset: 10 away matches only Min required: 3 per team

2Step 2: Sunderland Statistics (dataset: home matches only)

3Step 3: Chelsea Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Sunderland Win Strength = (home_win_rate 0.400 + away_loss_rate 0.400) / 2 = 0.400 Chelsea Win Strength = (away_win_rate 0.300 + home_loss_rate 0.400) / 2 = 0.350

5Step 5: Goal Strength Factor

Sunderland Goal Strength = home_avg_scored 0.90 / (away_avg_conceded 1.60 + 0.01) = 0.559 Chelsea Goal Strength = away_avg_scored 1.50 / (home_avg_conceded 1.20 + 0.01) = 1.240

6Step 6: Shot on Target Strength

Sunderland SOT Strength = 3.40 / (4.40 + 0.01) = 0.771 Chelsea SOT Strength = 4.40 / (3.40 + 0.01) = 1.290

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.533 Away=0.466 (sum=0.999) Goal: Home=0.311 Away=0.689 (sum=0.999) Shot: Home=0.374 Away=0.626 (sum=1.000) Form: Home=0.538 Away=0.461 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Sunderland Score = (0.533 × 0.35) + (0.311 × 0.30) + (0.374 × 0.20) + (0.538 × 0.15) = 0.4350 Chelsea Score = (0.466 × 0.35) + (0.689 × 0.30) + (0.626 × 0.20) + (0.461 × 0.15) = 0.5640

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4350 | Away Score: 0.5640 | Diff: 0.1290 Normalized: Home=37.9% | Away=49.1% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: AWAY WIN (confidence: 49.1% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 0.90 × away_avg_conceded 1.60 = 1.44 Away xG = away_avg_scored 1.50 × home_avg_conceded 1.20 = 1.80 Total xG = 1.44 + 1.80 = 3.24

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.24 P(Over 2.5) = 1 - PoissonCDF(2, 3.24) = 62.8% P(Under 2.5) = 37.2% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 62.8% → MEDIUM)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.44) = 0.763 P(Away Scores) = 1 - exp(-1.80) = 0.835 BTTS YES = 0.763 × 0.835 × 100 = 63.7% BTTS NO = 36.3% Result: BTTS YES (confidence: 63.7% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 3.40 + away_avg 5.80 = 9.20 P(Over 9.5) = 1 - PoissonCDF(9, 9.20) = 43.9% P(Under 9.5) = 56.1% Result: UNDER 9.5 (confidence: 56.1% → WEAK)

14Step 14: Final Verdict

MATCH RESULT: Home: 37.9% | Draw: 13.0% | Away: 49.1% Prediction: AWAY WIN → AVOID (49.1%) [AVOID] OVER/UNDER 2.5: Over: 62.8% | Under: 37.2% Prediction: OVER 2.5 → MEDIUM (62.8%) BTTS: Yes: 63.7% | No: 36.3% Prediction: YES → MEDIUM (63.7%) CORNERS: Over 9.5: 43.9% | Under 9.5: 56.1% Prediction: UNDER 9.5 → WEAK (56.1%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (62.8% → MEDIUM) | BTTS: YES (63.7% → MEDIUM) | Corners: UNDER 9.5 (56.1% → WEAK) Betslip Mark: MEDIUM

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Tottenham Hotspur vs Everton

📅 Sun 24 May, 11:00

DRAW

MODERATE

⚽ DRAW 13% (H:39.5 D:13 A:47.5) ⛔ AVOID

⚽ BTTS: YES 70.2% (Y:70.2 N:29.8) STRONG

📈 OVER 2.5 75.6% xG:3.96 (O:75.6 U:24.4) STRONG

🚩 UNDER 9.5 53.5% exp:9.4 (O:46.5 U:53.5) ⛔ AVOID

xG 1.44 – 2.52 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (75.6% → STRONG) BTTS: YES (70.2% → STRONG)

⌂ Tottenham Hotspur: 10 home matches only (W1/D3/L6), avg 1.2 scored, 4.8 SOT, 5.6 corners ✈ Everton: 10 away matches only (W4/D3/L3), avg 1.2 scored, 3.9 SOT, 3.8 corners

1Step 1: Dataset Collection

Tottenham Hotspur dataset: 10 home matches only Everton dataset: 10 away matches only Min required: 3 per team

2Step 2: Tottenham Hotspur Statistics (dataset: home matches only)

3Step 3: Everton Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

Tottenham Hotspur Win Strength = (home_win_rate 0.100 + away_loss_rate 0.300) / 2 = 0.200 Everton Win Strength = (away_win_rate 0.400 + home_loss_rate 0.600) / 2 = 0.500

5Step 5: Goal Strength Factor

Tottenham Hotspur Goal Strength = home_avg_scored 1.20 / (away_avg_conceded 1.20 + 0.01) = 0.992 Everton Goal Strength = away_avg_scored 1.20 / (home_avg_conceded 2.10 + 0.01) = 0.569

6Step 6: Shot on Target Strength

Tottenham Hotspur SOT Strength = 4.80 / (3.90 + 0.01) = 1.228 Everton SOT Strength = 3.90 / (4.80 + 0.01) = 0.811

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.285 Away=0.713 (sum=0.999) Goal: Home=0.635 Away=0.364 (sum=0.999) Shot: Home=0.602 Away=0.398 (sum=1.000) Form: Home=0.285 Away=0.713 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

Tottenham Hotspur Score = (0.285 × 0.35) + (0.635 × 0.30) + (0.602 × 0.20) + (0.285 × 0.15) = 0.4536 Everton Score = (0.713 × 0.35) + (0.364 × 0.30) + (0.398 × 0.20) + (0.713 × 0.15) = 0.5454

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4536 | Away Score: 0.5454 | Diff: 0.0918 Normalized: Home=39.5% | Away=47.5% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.20 × away_avg_conceded 1.20 = 1.44 Away xG = away_avg_scored 1.20 × home_avg_conceded 2.10 = 2.52 Total xG = 1.44 + 2.52 = 3.96

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.96 P(Over 2.5) = 1 - PoissonCDF(2, 3.96) = 75.6% P(Under 2.5) = 24.4% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 75.6% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-1.44) = 0.763 P(Away Scores) = 1 - exp(-2.52) = 0.920 BTTS YES = 0.763 × 0.920 × 100 = 70.2% BTTS NO = 29.8% Result: BTTS YES (confidence: 70.2% → STRONG)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 5.60 + away_avg 3.80 = 9.40 P(Over 9.5) = 1 - PoissonCDF(9, 9.40) = 46.5% P(Under 9.5) = 53.5% Result: UNDER 9.5 (confidence: 53.5% → AVOID)

14Step 14: Final Verdict

MATCH RESULT: Home: 39.5% | Draw: 13.0% | Away: 47.5% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 75.6% | Under: 24.4% Prediction: OVER 2.5 → STRONG (75.6%) BTTS: Yes: 70.2% | No: 29.8% Prediction: YES → STRONG (70.2%) CORNERS: Over 9.5: 46.5% | Under 9.5: 53.5% Prediction: UNDER 9.5 → AVOID (53.5%) [AVOID] VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (75.6% → STRONG) | BTTS: YES (70.2% → STRONG) Betslip Mark: HIGH

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West Ham United vs Leeds United

📅 Sun 24 May, 11:00

DRAW

STRONG

⚽ DRAW 13% (H:43.5 D:13 A:43.5) ⛔ AVOID

⚽ BTTS: YES 69.1% (Y:69.1 N:30.9) MEDIUM

📈 OVER 2.5 70.4% xG:3.64 (O:70.4 U:29.6) STRONG

🚩 UNDER 9.5 70.4% exp:8.1 (O:29.6 U:70.4) STRONG

xG 2.08 – 1.56 HIGH

✅ BETTING OPPORTUNITY

Goals: OVER 2.5 (70.4% → STRONG) BTTS: YES (69.1% → MEDIUM) Corners: UNDER 9.5 (70.4% → STRONG)

⌂ West Ham United: 10 home matches only (W3/D4/L3), avg 1.6 scored, 3.4 SOT, 4.7 corners ✈ Leeds United: 10 away matches only (W1/D8/L1), avg 1.3 scored, 4 SOT, 3.4 corners

1Step 1: Dataset Collection

West Ham United dataset: 10 home matches only Leeds United dataset: 10 away matches only Min required: 3 per team

2Step 2: West Ham United Statistics (dataset: home matches only)

3Step 3: Leeds United Statistics (dataset: away matches only)

4Step 4: Win Strength Factor

West Ham United Win Strength = (home_win_rate 0.300 + away_loss_rate 0.100) / 2 = 0.200 Leeds United Win Strength = (away_win_rate 0.100 + home_loss_rate 0.300) / 2 = 0.200

5Step 5: Goal Strength Factor

West Ham United Goal Strength = home_avg_scored 1.60 / (away_avg_conceded 1.30 + 0.01) = 1.221 Leeds United Goal Strength = away_avg_scored 1.30 / (home_avg_conceded 1.20 + 0.01) = 1.074

6Step 6: Shot on Target Strength

West Ham United SOT Strength = 3.40 / (4.00 + 0.01) = 0.848 Leeds United SOT Strength = 4.00 / (3.40 + 0.01) = 1.173

7Step 7: Normalize Factors (each pair must sum to 1)

Win: Home=0.499 Away=0.499 (sum=0.998) Goal: Home=0.532 Away=0.468 (sum=1.000) Shot: Home=0.419 Away=0.580 (sum=1.000) Form: Home=0.541 Away=0.458 (sum=0.999)

8Step 8: Final Weighted Score (Win=0.35, Goal=0.30, Shot=0.20, Form=0.15)

West Ham United Score = (0.499 × 0.35) + (0.532 × 0.30) + (0.419 × 0.20) + (0.541 × 0.15) = 0.4991 Leeds United Score = (0.499 × 0.35) + (0.468 × 0.30) + (0.580 × 0.20) + (0.458 × 0.15) = 0.4996

9Step 9: Match Result Decision (Improved Probabilities)

Home Score: 0.4991 | Away Score: 0.4996 | Diff: 0.0005 Normalized: Home=43.5% | Away=43.5% | Draw=13.0% Rule: diff < 0.08 → DRAW, else higher score wins Result: DRAW (confidence: 13.0% → AVOID) [AUTO-AVOID]

10Step 10: Expected Goals (xG)

Home xG = home_avg_scored 1.60 × away_avg_conceded 1.30 = 2.08 Away xG = away_avg_scored 1.30 × home_avg_conceded 1.20 = 1.56 Total xG = 2.08 + 1.56 = 3.64

11Step 11: Over/Under 2.5 Goals (Poisson + xG Threshold)

Total xG = 3.64 P(Over 2.5) = 1 - PoissonCDF(2, 3.64) = 70.4% P(Under 2.5) = 29.6% xG Rule: >2.8 → OVER, <2.2 → UNDER, 2.2-2.8 → AVOID Result: OVER 2.5 (confidence: 70.4% → STRONG)

12Step 12: BTTS (Poisson + Reliability Filter)

P(Home Scores) = 1 - exp(-2.08) = 0.875 P(Away Scores) = 1 - exp(-1.56) = 0.790 BTTS YES = 0.875 × 0.790 × 100 = 69.1% BTTS NO = 30.9% Result: BTTS YES (confidence: 69.1% → MEDIUM)

13Step 13: Corner Kicks (Poisson + Boost)

Expected Corners = home_avg 4.70 + away_avg 3.40 = 8.10 P(Over 9.5) = 1 - PoissonCDF(9, 8.10) = 29.6% P(Under 9.5) = 70.4% Result: UNDER 9.5 (confidence: 70.4% → STRONG)

14Step 14: Final Verdict

MATCH RESULT: Home: 43.5% | Draw: 13.0% | Away: 43.5% Prediction: DRAW → AVOID (13.0%) [AVOID] OVER/UNDER 2.5: Over: 70.4% | Under: 29.6% Prediction: OVER 2.5 → STRONG (70.4%) BTTS: Yes: 69.1% | No: 30.9% Prediction: YES → MEDIUM (69.1%) CORNERS: Over 9.5: 29.6% | Under 9.5: 70.4% Prediction: UNDER 9.5 → STRONG (70.4%) VERDICT: BETTING OPPORTUNITY Active Markets: Goals: OVER 2.5 (70.4% → STRONG) | BTTS: YES (69.1% → MEDIUM) | Corners: UNDER 9.5 (70.4% → STRONG) Betslip Mark: HIGH

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