Head-to-Head
In this compelling Premier League 2 Division One fixture, Manchester United U21 host Leicester City U21 in a competitive encounter with evenly-matched opponents. Home Team Analysis:</s...
Our advanced predictive algorithms, processing over 150 distinct data points through Monte Carlo simulation, Poisson distribution, and neural network analysis, identify 2-1 as the optimal correct score prediction for this encounter w...
| # | Team | MP | PTS |
|---|---|---|---|
| 15 | 0 | 0 | |
| 16 | 0 | 0 | |
| 17 | 0 | 0 |
| # | Team | MP | PTS |
|---|---|---|---|
| 13 | 0 | 0 | |
| 14 | 0 | 0 | |
| 15 | 0 | 0 |
| # | Team | MP | W | D | L | +/- | PTS |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | +1 | 3 | |
| 2 | 1 | 1 | 0 | 0 | +1 | 3 | |
| 3 | 1 | 1 | 0 | 0 | +1 | 3 | |
| 4 | 1 | 1 | 0 | 0 | +1 | 3 | |
| 5 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 6 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 7 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 8 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 9 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 10 | 1 | 0 | 1 | 0 | 0 | 1 | |
| 11 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 12 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 13 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 14 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 15 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 16 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 17 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 18 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 19 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 20 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 21 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 22 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 23 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 24 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 25 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 26 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 27 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 28 | 1 | 0 | 0 | 1 | -1 | 0 | |
| 29 | 1 | 0 | 0 | 1 | -1 | 0 | |
| 30 | 1 | 0 | 0 | 1 | -1 | 0 | |
| 31 | 1 | 0 | 0 | 1 | -1 | 0 |
| # | Team | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | 1 | 3.8 | 3.1 | +0.7 | 3 | |
| 2 | 1 | 2.9 | 2.1 | +0.8 | 3 | |
| 3 | 1 | 2.0 | 1.0 | +1.0 | 3 | |
| 4 | 1 | 2.0 | 1.0 | +1.0 | 3 | |
| 5 | 1 | 1.0 | 1.0 | 0.0 | 1 | |
| 6 | 1 | 1.0 | 1.0 | 0.0 | 1 | |
| 7 | 1 | 1.0 | 1.0 | 0.0 | 1 | |
| 8 | 1 | 1.0 | 1.0 | 0.0 | 1 | |
| 9 | 1 | 0.0 | 0.0 | 0.0 | 1 | |
| 10 | 1 | 0.0 | 0.0 | 0.0 | 1 | |
| 11 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 12 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 13 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 14 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 15 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 16 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 17 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 18 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 19 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 20 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 21 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 22 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 23 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 24 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 25 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 26 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 27 | 0 | 0.0 | 0.0 | 0.0 | 0 | |
| 28 | 1 | 3.1 | 3.9 | -0.8 | 0 | |
| 29 | 1 | 2.1 | 2.9 | -0.8 | 0 | |
| 30 | 1 | 0.9 | 2.1 | -1.2 | 0 | |
| 31 | 1 | 1.0 | 2.1 | -1.1 | 0 |
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