Head-to-Head
In this compelling Calcutta Premier Division fixture, Mohammedan host Police in a premium fixture featuring top-tier tactical execution. Home Team Analysis: Mohammedan...
Our advanced predictive algorithms, processing over 150 distinct data points through Monte Carlo simulation, Poisson distribution, and neural network analysis, identify 1-1 as the optimal correct score prediction for this encounter w...
| # | Team | MP | PTS |
|---|---|---|---|
| 5 | 7 | 13 | |
| 6 | 5 | 13 | |
| 7 | 7 | 11 |
| # | Team | MP | PTS |
|---|---|---|---|
| 2 | 8 | 15 | |
| 3 | 7 | 15 | |
| 4 | 6 | 14 |
| # | Team | MP | W | D | L | +/- | PTS |
|---|---|---|---|---|---|---|---|
| 1 | 7 | 5 | 2 | 0 | +8 | 17 | |
| 2 | 8 | 4 | 3 | 1 | +8 | 15 | |
| 3 | 7 | 4 | 3 | 0 | +7 | 15 | |
| 4 | 6 | 4 | 2 | 0 | +12 | 14 | |
| 5 | 7 | 4 | 1 | 2 | +9 | 13 | |
| 6 | 5 | 4 | 1 | 0 | +8 | 13 | |
| 7 | 7 | 3 | 2 | 2 | +7 | 11 | |
| 8 | 6 | 3 | 2 | 1 | +6 | 11 | |
| 9 | 7 | 3 | 2 | 2 | +5 | 11 | |
| 10 | 8 | 2 | 5 | 1 | +2 | 11 | |
| 11 | 6 | 2 | 4 | 0 | +4 | 10 | |
| 12 | 6 | 3 | 1 | 2 | +1 | 10 | |
| 13 | 7 | 2 | 2 | 3 | -1 | 8 | |
| 14 | 7 | 2 | 2 | 3 | -3 | 8 | |
| 15 | 7 | 1 | 4 | 2 | +1 | 7 | |
| 16 | 7 | 2 | 1 | 4 | 0 | 7 | |
| 17 | 7 | 2 | 1 | 4 | -5 | 7 | |
| 18 | 7 | 1 | 3 | 3 | -5 | 6 | |
| 19 | 7 | 2 | 0 | 5 | -16 | 6 | |
| 20 | 5 | 1 | 2 | 2 | -3 | 5 | |
| 21 | 7 | 1 | 1 | 5 | -9 | 4 | |
| 22 | 7 | 1 | 1 | 5 | -13 | 4 | |
| 23 | 6 | 0 | 2 | 4 | -8 | 2 | |
| 24 | 6 | 0 | 1 | 5 | -15 | 1 |
| # | Team | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | 7 | 10.6 | 3.1 | +7.5 | 17 | |
| 2 | 8 | 13.6 | 6.2 | +7.4 | 15 | |
| 3 | 7 | 9.8 | 3.1 | +6.7 | 15 | |
| 4 | 6 | 17.8 | 6.1 | +11.7 | 14 | |
| 5 | 7 | 13.0 | 4.0 | +9.0 | 13 | |
| 6 | 5 | 11.1 | 3.0 | +8.1 | 13 | |
| 7 | 7 | 16.3 | 8.8 | +7.5 | 11 | |
| 8 | 6 | 16.5 | 9.7 | +6.8 | 11 | |
| 9 | 7 | 13.5 | 7.7 | +5.8 | 11 | |
| 10 | 8 | 12.3 | 11.6 | +0.7 | 11 | |
| 11 | 6 | 10.6 | 7.3 | +3.3 | 10 | |
| 12 | 6 | 5.8 | 5.2 | +0.6 | 10 | |
| 13 | 7 | 7.8 | 9.2 | -1.4 | 8 | |
| 14 | 7 | 4.0 | 7.1 | -3.1 | 8 | |
| 15 | 7 | 6.0 | 5.0 | +1.0 | 7 | |
| 16 | 7 | 10.1 | 9.9 | +0.2 | 7 | |
| 17 | 7 | 6.1 | 10.8 | -4.7 | 7 | |
| 18 | 7 | 6.2 | 10.7 | -4.5 | 6 | |
| 19 | 7 | 7.3 | 22.1 | -14.8 | 6 | |
| 20 | 5 | 2.8 | 6.3 | -3.5 | 5 | |
| 21 | 7 | 7.7 | 17.7 | -10.0 | 4 | |
| 22 | 7 | 3.9 | 17.5 | -13.6 | 4 | |
| 23 | 6 | 1.0 | 9.2 | -8.2 | 2 | |
| 24 | 6 | 3.0 | 18.2 | -15.2 | 1 |
Access Monte Carlo & Poisson engine results
Login with Google or Telegram