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
Schalke 04
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
9 | 7 | 2 | 0 | +18 | 23 |
| 2 |
RB Leipzig
|
9 | 6 | 3 | 0 | +11 | 21 |
| 3 |
Hertha
|
8 | 5 | 2 | 1 | +5 | 17 |
| 4 |
Hoffenheim
|
8 | 4 | 4 | 0 | +6 | 16 |
| 5 |
FC Koln
|
8 | 4 | 3 | 1 | +7 | 15 |
| 6 |
Ein Frankfurt
|
9 | 4 | 3 | 2 | +5 | 15 |
| 7 |
Freiburg
|
9 | 5 | 0 | 4 | +0 | 15 |
| 8 |
Dortmund
|
8 | 4 | 2 | 2 | +10 | 14 |
| 9 |
Mainz
|
9 | 4 | 2 | 3 | +1 | 14 |
| 10 |
Leverkusen
|
9 | 4 | 1 | 4 | +0 | 13 |
| 11 |
M'gladbach
|
9 | 3 | 3 | 3 | -2 | 12 |
| 12 |
Augsburg
|
9 | 2 | 2 | 5 | -6 | 8 |
| 13 |
Darmstadt
|
9 | 2 | 2 | 5 | -9 | 8 |
| 14 |
Schalke 04
|
8 | 2 | 1 | 5 | -1 | 7 |
| 15 |
Werder Bremen
|
9 | 2 | 1 | 6 | -13 | 7 |
| 16 |
Wolfsburg
|
9 | 1 | 3 | 5 | -7 | 6 |
| 17 |
FC Ingolstadt 04
|
9 | 0 | 2 | 7 | -12 | 2 |
| 18 |
Hamburg
|
8 | 0 | 2 | 6 | -13 | 2 |
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.
FC Ingolstadt 04
Dortmund
Dortmund
Hertha
Leverkusen
Dortmund
Dortmund
Freiburg
Wolfsburg
Dortmund
Felix Brych · 71 kamper i vår database
🟥 Red cards: 0,10 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.