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
Union Berlin
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: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Leverkusen
|
6 | 5 | 1 | 0 | +14 | +7.5 | 16 |
| 2 |
Stuttgart
|
6 | 5 | 0 | 1 | +12 | +7.0 | 15 |
| 3 |
Bayern Munich
|
6 | 4 | 2 | 0 | +14 | +13.1 | 14 |
| 4 |
Dortmund
|
6 | 4 | 2 | 0 | +6 | +4.5 | 14 |
| 5 |
RB Leipzig
|
6 | 4 | 1 | 1 | +10 | -0.5 | 13 |
| 6 |
Hoffenheim
|
6 | 4 | 0 | 2 | +4 | +0.5 | 12 |
| 7 |
Wolfsburg
|
6 | 4 | 0 | 2 | +3 | +2.2 | 12 |
| 8 |
Freiburg
|
6 | 3 | 1 | 2 | -3 | +0.6 | 10 |
| 9 |
Ein Frankfurt
|
6 | 1 | 4 | 1 | -1 | -2.0 | 7 |
| 10 |
Heidenheim
|
6 | 2 | 1 | 3 | -3 | -7.9 | 7 |
| 11 |
Union Berlin
|
6 | 2 | 0 | 4 | -1 | -0.0 | 6 |
| 12 |
M'gladbach
|
7 | 1 | 3 | 3 | -3 | +1.6 | 6 |
| 13 |
Werder Bremen
|
6 | 2 | 0 | 4 | -4 | -0.8 | 6 |
| 14 |
Augsburg
|
6 | 1 | 2 | 3 | -6 | -0.2 | 5 |
| 15 |
Darmstadt
|
6 | 1 | 1 | 4 | -8 | -7.0 | 4 |
| 16 |
Bochum
|
6 | 0 | 3 | 3 | -14 | -8.1 | 3 |
| 17 |
Mainz
|
7 | 0 | 2 | 5 | -13 | -5.0 | 2 |
| 18 |
FC Koln
|
6 | 0 | 1 | 5 | -7 | -5.5 | 1 |
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.
G. Kobel
G
M. Wolf
D
N. Schlotterbeck
D
J. Ryerson
D
F. Nmecha
M
D. Malen
M
J. Bynoe-Gittens
M
N. Füllkrug
F
Coach: E. Terzić
F. Rønnow
G
C. Trimmel
D
D. Doekhi
D
Diogo Leite
D
R. Gosens
D
A. Král
M
J. Haberer
M
S. Becker
F
K. Behrens
F
Coach: U. Fischer
Green columns are the outcomes that came in.
Dortmund
Milan
Hoffenheim
Dortmund
Dortmund
Wolfsburg
Paris SG
Dortmund
Freiburg
Dortmund
P Ittrich · 74 kamper i vår database
🟥 Red cards: 0,18 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.