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: 0–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
10 | 7 | 2 | 1 | +17 | 23 |
| 2 |
RB Leipzig
|
11 | 7 | 1 | 3 | +5 | 22 |
| 3 |
Dortmund
|
10 | 6 | 2 | 2 | +16 | 20 |
| 4 |
Schalke 04
|
11 | 6 | 2 | 3 | +4 | 20 |
| 5 |
Hannover
|
11 | 5 | 3 | 3 | +4 | 18 |
| 6 |
Ein Frankfurt
|
11 | 5 | 3 | 3 | +2 | 18 |
| 7 |
M'gladbach
|
11 | 5 | 3 | 3 | -2 | 18 |
| 8 |
Leverkusen
|
11 | 4 | 4 | 3 | +7 | 16 |
| 9 |
Augsburg
|
11 | 4 | 4 | 3 | +5 | 16 |
| 10 |
Hoffenheim
|
10 | 4 | 4 | 2 | +3 | 16 |
| 11 |
Hertha
|
10 | 3 | 4 | 3 | -1 | 13 |
| 12 |
Stuttgart
|
11 | 4 | 1 | 6 | -4 | 13 |
| 13 |
Mainz
|
11 | 3 | 3 | 5 | -5 | 12 |
| 14 |
Wolfsburg
|
10 | 1 | 7 | 2 | -3 | 10 |
| 15 |
Hamburg
|
11 | 3 | 1 | 7 | -8 | 10 |
| 16 |
Freiburg
|
11 | 1 | 5 | 5 | -15 | 8 |
| 17 |
Werder Bremen
|
11 | 0 | 5 | 6 | -10 | 5 |
| 18 |
FC Koln
|
10 | 0 | 2 | 8 | -15 | 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
C. Pulisic
M
P. Aubameyang
F
Coach: P. Bosz
S. Ulreich
G
J. Kimmich
D
Coach: J. Heynckes
Green columns are the outcomes that came in.
Hannover
Dortmund
Ein Frankfurt
Dortmund
Dortmund
RB Leipzig
Augsburg
Dortmund
Dortmund
M'gladbach
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.