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
Hoffenheim
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Leverkusen
|
23 | 19 | 4 | 0 | +43 | +26.1 | 61 |
| 2 |
Bayern Munich
|
23 | 17 | 2 | 4 | +37 | +41.1 | 53 |
| 3 |
Stuttgart
|
23 | 15 | 2 | 6 | +23 | +26.0 | 47 |
| 4 |
Dortmund
|
22 | 11 | 8 | 3 | +17 | +8.7 | 41 |
| 5 |
RB Leipzig
|
23 | 12 | 4 | 7 | +19 | +15.7 | 40 |
| 6 |
Ein Frankfurt
|
23 | 8 | 10 | 5 | +6 | -4.7 | 34 |
| 7 |
Werder Bremen
|
23 | 8 | 6 | 9 | -3 | -6.4 | 30 |
| 8 |
Freiburg
|
22 | 8 | 5 | 9 | -11 | -0.0 | 29 |
| 9 |
Heidenheim
|
23 | 7 | 7 | 9 | -7 | -19.1 | 28 |
| 10 |
Hoffenheim
|
22 | 7 | 6 | 9 | -3 | -1.3 | 27 |
| 11 |
M'gladbach
|
23 | 6 | 7 | 10 | -4 | -4.9 | 25 |
| 12 |
Wolfsburg
|
23 | 6 | 7 | 10 | -8 | -2.7 | 25 |
| 13 |
Union Berlin
|
23 | 7 | 4 | 12 | -14 | -7.6 | 25 |
| 14 |
Bochum
|
23 | 5 | 10 | 8 | -18 | -16.1 | 25 |
| 15 |
Augsburg
|
22 | 5 | 8 | 9 | -9 | -6.4 | 23 |
| 16 |
FC Koln
|
23 | 3 | 8 | 12 | -21 | -24.0 | 17 |
| 17 |
Mainz
|
23 | 2 | 9 | 12 | -19 | -0.8 | 15 |
| 18 |
Darmstadt
|
23 | 2 | 7 | 14 | -28 | -23.5 | 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.
PSV Eindhoven
Dortmund
Wolfsburg
Dortmund
Dortmund
Freiburg
Heidenheim
Dortmund
Dortmund
Bochum
M Fritz · 83 kamper i vår database
🟥 Red cards: 0,08 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.