Final table projection
Model estimateEvery remaining match simulated 10,000 times with Vesta’s strengths of today, added to the table as it stands. Sorted by average finishing position.
| # | Team | Pts | Title | Top 4 | Bot. 3 |
|---|---|---|---|---|---|
| 1 | 81 | 93% | >99% | – | |
| 2 | 67 | 6% | 94% | – | |
| 3 | 61 | 1% | 79% | – | |
| 4 | 53 | <1% | 33% | <1% | |
| 5 | 53 | <1% | 32% | <1% | |
| 6 | 52 | <1% | 26% | <1% | |
| 7 | 49 | – | 15% | 1% | |
| 8 | 45 | – | 5% | 5% | |
| 9 | 45 | <1% | 5% | 5% | |
| 10 | 44 | – | 4% | 6% | |
| 11 | 44 | – | 3% | 6% | |
| 12 | 41 | – | 2% | 12% | |
| 13 | 41 | – | 1% | 14% | |
| 14 | 40 | – | <1% | 17% | |
| 15 | 38 | – | <1% | 23% | |
| 16 | 32 | – | <1% | 62% | |
| 17 | 30 | – | <1% | 73% | |
| 18 | 30 | – | <1% | 74% |
Range: 8 in 10 simulated seasons end between these points. Strengths stay as they are today: injuries, transfers and changes of coach are not in it, nor are points deductions. Computed Sat 3 Oct 2026, on data up to Sun 20 Sep 2026.
Projected final numbers
Model estimate| # | Team | W | D | L | Goals for | Against | Diff. |
|---|---|---|---|---|---|---|---|
| 1 | 25 | 5 | 3 | 104 | 36 | +68 | |
| 2 | 20 | 7 | 7 | 69 | 40 | +29 | |
| 3 | 18 | 8 | 8 | 72 | 46 | +26 | |
| 4 | 15 | 9 | 10 | 60 | 49 | +12 | |
| 5 | 15 | 7 | 12 | 65 | 52 | +13 | |
| 6 | 15 | 8 | 11 | 65 | 56 | +10 | |
| 7 | 14 | 7 | 13 | 63 | 58 | +5 | |
| 8 | 13 | 7 | 14 | 59 | 62 | -3 | |
| 9 | 12 | 8 | 14 | 56 | 61 | -6 | |
| 10 | 12 | 8 | 14 | 58 | 61 | -3 | |
| 11 | 12 | 9 | 13 | 58 | 64 | -6 | |
| 12 | 11 | 8 | 15 | 49 | 61 | -12 | |
| 13 | 10 | 9 | 14 | 47 | 58 | -11 | |
| 14 | 11 | 8 | 15 | 52 | 66 | -13 | |
| 15 | 10 | 9 | 16 | 43 | 57 | -14 | |
| 16 | 8 | 7 | 19 | 49 | 76 | -27 | |
| 17 | 8 | 7 | 19 | 39 | 74 | -35 | |
| 18 | 7 | 8 | 19 | 43 | 76 | -33 |
Averages over the simulated seasons (the matches played included), so a row may not add up to the matches of a season after rounding.
Top scorer race
Model estimateGoals at the end of the season: the goals of the simulated rest of the season shared among each team's players by their recent part in its attack.
| Player | Now | Final | Top scorer |
|---|---|---|---|
| Harry KaneBayern Munich | 3 | 29 | 83% |
| Patrik SchickBayer Leverkusen | 4 | 21 | 9% |
| Serhou GuirassyBorussia Dortmund | 2 | 20 | 6% |
| Phillip TietzMainz 05 | 4 | 16 | <1% |
| Jonathan BurkardtEintracht Frankfurt | 3 | 15 | <1% |
| Igor MatanovicFreiburg | 3 | 15 | <1% |
| Michael OliseBayern Munich | 4 | 15 | <1% |
| Michael GregoritschAugsburg | 3 | 14 | <1% |
| Luis DíazBayern Munich | 1 | 13 | <1% |
| Younes EbnoutalibEintracht Frankfurt | 4 | 11 | <1% |
Assists race
Model estimate| Player | Now | Final | Most assists |
|---|---|---|---|
| Michael OliseBayern Munich | 1 | 13 | 36% |
| Julian RyersonBorussia Dortmund | 0 | 12 | 25% |
| Sheraldo BeckerMainz 05 | 3 | 11 | 16% |
| Joshua KimmichBayern Munich | 2 | 9 | 5% |
| Fabian RiederAugsburg | 3 | 8 | 2% |
| Vladimir CoufalHoffenheim | 2 | 8 | 2% |
| Albert GrønbækHamburger SV | 2 | 8 | 1% |
| Franck HonoratBorussia M.Gladbach | 2 | 8 | 1% |
| Luis DíazBayern Munich | 0 | 8 | 2% |
| Ibrahim MazaBayer Leverkusen | 1 | 8 | 1% |
Assists are shared the same way, by each player's recent part in creating chances.
This week
Since Sun 13 Sep 2026The chances that moved most, in percentage points: the projection now against the one made with the data of a week of matches ago.
Points and chances
2026-27Expected points: what the chances of every match (expected goals) were worth, on average. A team above them took more points than its chances, from finishing, goalkeeping or luck.
| Team | Points | Expected | Difference |
|---|---|---|---|
| 12 | 8.0 | +4.0 | |
| 7 | 3.6 | +3.4 | |
| 7 | 4.7 | +2.3 | |
| 7 | 4.9 | +2.1 | |
| 10 | 8.4 | +1.6 | |
| 4 | 3.0 | +1.0 | |
| 5 | 4.3 | +0.7 | |
| 3 | 3.0 | 0.0 | |
| 10 | 10.5 | −0.5 | |
| 5 | 5.7 | −0.7 | |
| 3 | 3.8 | −0.8 | |
| 7 | 7.9 | −0.9 | |
| 1 | 2.4 | −1.4 | |
| 6 | 7.5 | −1.5 | |
| 4 | 5.9 | −1.9 | |
| 7 | 9.3 | −2.3 | |
| 3 | 5.8 | −2.8 | |
| 0 | 3.2 | −3.2 |

