Bundesliga
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Dortmund
Hertha
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
21 | 12 | 7 | 2 | +40 | +1.4 | 43 |
| 2 |
Union Berlin
|
21 | 13 | 4 | 4 | +11 | +4.1 | 43 |
| 3 |
Dortmund
|
20 | 13 | 1 | 6 | +14 | +4.0 | 40 |
| 4 |
Freiburg
|
21 | 12 | 4 | 5 | +3 | +0.9 | 40 |
| 5 |
RB Leipzig
|
21 | 11 | 6 | 4 | +17 | +3.6 | 39 |
| 6 |
Ein Frankfurt
|
21 | 11 | 5 | 5 | +13 | -1.1 | 38 |
| 7 |
Wolfsburg
|
21 | 8 | 6 | 7 | +9 | +2.8 | 30 |
| 8 |
M'gladbach
|
21 | 8 | 5 | 8 | +3 | -2.8 | 29 |
| 9 |
Leverkusen
|
20 | 8 | 3 | 9 | +1 | +3.2 | 27 |
| 10 |
Werder Bremen
|
21 | 8 | 3 | 10 | -10 | -6.4 | 27 |
| 11 |
FC Koln
|
21 | 6 | 8 | 7 | -2 | +0.5 | 26 |
| 12 |
Mainz
|
20 | 7 | 5 | 8 | -2 | +0.9 | 26 |
| 13 |
Augsburg
|
21 | 7 | 3 | 11 | -10 | -0.5 | 24 |
| 14 |
Stuttgart
|
21 | 4 | 7 | 10 | -10 | +0.7 | 19 |
| 15 |
Hoffenheim
|
21 | 5 | 4 | 12 | -11 | -3.9 | 19 |
| 16 |
Bochum
|
21 | 6 | 1 | 14 | -27 | -3.7 | 19 |
| 17 |
Hertha
|
20 | 4 | 5 | 11 | -12 | -3.0 | 17 |
| 18 |
Schalke 04
|
21 | 2 | 7 | 12 | -27 | -0.9 | 13 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Green columns are the outcomes that came in.
Dortmund
Chelsea
Werder Bremen
Dortmund
Bochum
Dortmund
Dortmund
Freiburg
Leverkusen
Dortmund
H Osmers · 139 kamper i vår database
🟥 Red cards: 0,19 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.