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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Wolfsburg
Freiburg
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
14 | 12 | 2 | 0 | +40 | +30.7 | 38 |
| 2 |
Dortmund
|
15 | 9 | 5 | 1 | +14 | +7.9 | 32 |
| 3 |
RB Leipzig
|
14 | 9 | 2 | 3 | +13 | +8.2 | 29 |
| 4 |
Leverkusen
|
14 | 8 | 2 | 4 | +11 | +9.1 | 26 |
| 5 |
Hoffenheim
|
14 | 8 | 2 | 4 | +9 | +1.5 | 26 |
| 6 |
Stuttgart
|
14 | 8 | 1 | 5 | +3 | +0.8 | 25 |
| 7 |
Ein Frankfurt
|
14 | 7 | 3 | 4 | +0 | +1.4 | 24 |
| 8 |
Union Berlin
|
14 | 5 | 3 | 6 | -4 | -3.2 | 18 |
| 9 |
Freiburg
|
14 | 4 | 5 | 5 | -2 | +2.4 | 17 |
| 10 |
FC Koln
|
14 | 4 | 4 | 6 | -1 | -2.5 | 16 |
| 11 |
M'gladbach
|
15 | 4 | 4 | 7 | -6 | -2.2 | 16 |
| 12 |
Werder Bremen
|
14 | 4 | 4 | 6 | -10 | -8.3 | 16 |
| 13 |
Wolfsburg
|
14 | 4 | 3 | 7 | -4 | -3.4 | 15 |
| 14 |
Hamburg
|
14 | 4 | 3 | 7 | -9 | -3.1 | 15 |
| 15 |
Augsburg
|
14 | 4 | 1 | 9 | -11 | -10.4 | 13 |
| 16 |
St Pauli
|
14 | 3 | 2 | 9 | -13 | -10.2 | 11 |
| 17 |
Heidenheim
|
14 | 3 | 2 | 9 | -17 | -6.9 | 11 |
| 18 |
Mainz
|
14 | 1 | 4 | 9 | -13 | -11.8 | 7 |
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.
M'gladbach
Wolfsburg
Wolfsburg
Union Berlin
Ein Frankfurt
Wolfsburg
Wolfsburg
Leverkusen
Werder Bremen
Wolfsburg
Sascha Stegemann · 85 kamper i vår database
🟥 Red cards: 0,16 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.