Netherlands
Where each Eredivisieteam 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 Eredivisie top scorer probabilities.
| # | Team | xPts Avg | xPts Mod | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 84.0 | 84 | 100.0 | ||||||||||
| 2 | 65.0 | 65 | 100.0 | ||||||||||
| 3 | 59.0 | 59 | 95.4 | 4.6 | |||||||||
| 4 | 58.0 | 58 | 47.8 | 52.2 | |||||||||
| 5 | 57.8 | 59 | 4.6 | 47.6 | 47.8 | ||||||||
| 6 | 54.8 | 56 | 73.9 | 26.1 | |||||||||
| 7 | 52.0 | 52 | 73.9 | 26.1 | |||||||||
| 8 | 52.0 | 51 | 26.1 | 61.7 | 12.2 | ||||||||
| 9 | 49.0 | 48 | 12.2 | 87.8 | |||||||||
| 10 | 43.0 | 43 | 100.0 | ||||||||||
| 11 | 39.0 | 39 | |||||||||||
| 12 | 38.0 | 38 | |||||||||||
| 13 | 38.0 | 38 | |||||||||||
| 14 | 37.0 | 37 | |||||||||||
| 15 | 37.0 | 37 | |||||||||||
| 16 | 32.0 | 32 | |||||||||||
| 17 | 29.0 | 29 | |||||||||||
| 18 | 19.0 | 19 |