England
Where each League Oneteam is most likely to finish, from 1,000 Monte Carlo simulations of every remaining fixture. Each team's per-match scoring rate to date drives the Poisson model that samples goals for every unplayed match; the table aggregates position frequencies and average final points across all simulations.
Read the methodology in our model transparency page. For top-scorer race projections see League One top scorer probabilities.
| # | Team | xPts Avg | xPts Mod | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 103.0 | 103 | 100.0 | ||||||||||
| 2 | 91.0 | 91 | 100.0 | ||||||||||
| 3 | 78.0 | 77 | 50.5 | 49.5 | |||||||||
| 4 | 77.0 | 77 | 50.5 | 49.5 | |||||||||
| 5 | 76.7 | 78 | 49.5 | 50.5 | |||||||||
| 6 | 75.0 | 75 | 100.0 | ||||||||||
| 7 | 74.0 | 74 | 100.0 | ||||||||||
| 8 | 73.0 | 73 | 100.0 | ||||||||||
| 9 | 67.0 | 67 | 100.0 | ||||||||||
| 10 | 65.0 | 65 | 100.0 | ||||||||||
| 11 | 63.0 | 63 | |||||||||||
| 12 | 63.0 | 63 | |||||||||||
| 13 | 60.0 | 60 | |||||||||||
| 14 | 60.0 | 60 | |||||||||||
| 15 | 59.0 | 59 | |||||||||||
| 16 | 56.0 | 56 | |||||||||||
| 17 | 54.0 | 54 | |||||||||||
| 18 | 53.0 | 53 | |||||||||||
| 19 | 53.0 | 53 | |||||||||||
| 20 | 52.0 | 52 | |||||||||||
| 21 | 49.0 | 49 | |||||||||||
| 22 | 42.0 | 42 | |||||||||||
| 23 | 41.0 | 41 | |||||||||||
| 24 | 35.0 | 35 |