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
Bayern Munich
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
RB Leipzig
|
11 | 8 | 3 | 0 | +14 | 27 |
| 2 |
Bayern Munich
|
10 | 7 | 3 | 0 | +18 | 24 |
| 3 |
FC Koln
|
11 | 6 | 3 | 2 | +10 | 21 |
| 4 |
Hertha
|
11 | 6 | 3 | 2 | +7 | 21 |
| 5 |
Hoffenheim
|
10 | 5 | 5 | 0 | +7 | 20 |
| 6 |
Dortmund
|
10 | 5 | 3 | 2 | +13 | 18 |
| 7 |
Ein Frankfurt
|
10 | 5 | 3 | 2 | +6 | 18 |
| 8 |
Mainz
|
11 | 5 | 2 | 4 | +1 | 17 |
| 9 |
Leverkusen
|
11 | 5 | 1 | 5 | +0 | 16 |
| 10 |
Freiburg
|
11 | 5 | 0 | 6 | -5 | 15 |
| 11 |
Schalke 04
|
11 | 4 | 2 | 5 | +2 | 14 |
| 12 |
Augsburg
|
11 | 3 | 3 | 5 | -4 | 12 |
| 13 |
M'gladbach
|
11 | 3 | 3 | 5 | -6 | 12 |
| 14 |
Wolfsburg
|
11 | 2 | 3 | 6 | -5 | 9 |
| 15 |
Darmstadt
|
11 | 2 | 2 | 7 | -11 | 8 |
| 16 |
Werder Bremen
|
10 | 2 | 1 | 7 | -15 | 7 |
| 17 |
FC Ingolstadt 04
|
11 | 1 | 2 | 8 | -13 | 5 |
| 18 |
Hamburg
|
10 | 0 | 2 | 8 | -19 | 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.
Bartra
D
M. Ginter
D
M. Götze
M
P. Aubameyang
F
Coach: T. Tuchel
M. Neuer
G
J. Kimmich
D
Coach: C. Ancelotti
Green columns are the outcomes that came in.
Hamburg
Dortmund
Dortmund
Schalke 04
FC Ingolstadt 04
Dortmund
Dortmund
Hertha
Leverkusen
Dortmund
Tobias Stieler · 91 kamper i vår database
🟥 Red cards: 0,20 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.