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
Leverkusen
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: 2–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
22 | 16 | 5 | 1 | +41 | 53 |
| 2 |
RB Leipzig
|
23 | 15 | 4 | 4 | +19 | 49 |
| 3 |
Dortmund
|
22 | 11 | 7 | 4 | +23 | 40 |
| 4 |
Hoffenheim
|
22 | 9 | 11 | 2 | +17 | 38 |
| 5 |
Hertha
|
22 | 11 | 4 | 7 | +6 | 37 |
| 6 |
Ein Frankfurt
|
22 | 10 | 5 | 7 | +3 | 35 |
| 7 |
FC Koln
|
22 | 8 | 9 | 5 | +9 | 33 |
| 8 |
Leverkusen
|
22 | 9 | 3 | 10 | +2 | 30 |
| 9 |
Freiburg
|
22 | 9 | 3 | 10 | -11 | 30 |
| 10 |
M'gladbach
|
22 | 8 | 5 | 9 | -4 | 29 |
| 11 |
Mainz
|
22 | 8 | 4 | 10 | -6 | 28 |
| 12 |
Augsburg
|
23 | 7 | 7 | 9 | -7 | 28 |
| 13 |
Schalke 04
|
22 | 7 | 6 | 9 | +3 | 27 |
| 14 |
Wolfsburg
|
22 | 6 | 4 | 12 | -13 | 22 |
| 15 |
Werder Bremen
|
22 | 6 | 4 | 12 | -15 | 22 |
| 16 |
Hamburg
|
22 | 5 | 5 | 12 | -24 | 20 |
| 17 |
FC Ingolstadt 04
|
22 | 5 | 3 | 14 | -15 | 18 |
| 18 |
Darmstadt
|
22 | 3 | 3 | 16 | -28 | 12 |
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
O. Dembélé
F
P. Aubameyang
F
Coach: T. Tuchel
B. Leno
G
B. Henrichs
D
K. Havertz
M
Coach: R. Schmidt
Green columns are the outcomes that came in.
Freiburg
Dortmund
Dortmund
Wolfsburg
Darmstadt
Dortmund
Dortmund
RB Leipzig
Mainz
Dortmund
Christian Dingert · 74 kamper i vår database
🟥 Red cards: 0,15 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.