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
Bielefeld
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
22 | 15 | 4 | 3 | +31 | 49 |
| 2 |
RB Leipzig
|
22 | 14 | 5 | 3 | +22 | 47 |
| 3 |
Wolfsburg
|
22 | 11 | 9 | 2 | +16 | 42 |
| 4 |
Ein Frankfurt
|
23 | 11 | 9 | 3 | +14 | 42 |
| 5 |
Leverkusen
|
22 | 10 | 7 | 5 | +16 | 37 |
| 6 |
Dortmund
|
22 | 11 | 3 | 8 | +14 | 36 |
| 7 |
Union Berlin
|
22 | 8 | 9 | 5 | +10 | 33 |
| 8 |
M'gladbach
|
22 | 8 | 9 | 5 | +5 | 33 |
| 9 |
Freiburg
|
22 | 8 | 7 | 7 | +1 | 31 |
| 10 |
Stuttgart
|
22 | 7 | 8 | 7 | +4 | 29 |
| 11 |
Hoffenheim
|
22 | 7 | 5 | 10 | -3 | 26 |
| 12 |
Werder Bremen
|
22 | 6 | 8 | 8 | -6 | 26 |
| 13 |
Augsburg
|
22 | 6 | 5 | 11 | -13 | 23 |
| 14 |
FC Koln
|
22 | 5 | 6 | 11 | -16 | 21 |
| 15 |
Hertha
|
22 | 4 | 6 | 12 | -14 | 18 |
| 16 |
Bielefeld
|
21 | 5 | 3 | 13 | -20 | 18 |
| 17 |
Mainz
|
22 | 4 | 5 | 13 | -20 | 17 |
| 18 |
Schalke 04
|
22 | 1 | 6 | 15 | -41 | 9 |
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.
Mateu Morey
D
G. Reyna
M
J. Bellingham
M
E. Haaland
F
Coach: E. Terzić
S. Ortega Moreno
G
A. Pieper
D
F. Kunze
M
R. Doan
M
Coach: U. Neuhaus
Green columns are the outcomes that came in.
Schalke 04
Dortmund
Dortmund
Hoffenheim
Freiburg
Dortmund
Dortmund
Augsburg
M'gladbach
Dortmund
T Reichel · 78 kamper i vår database
🟥 Red cards: 0,12 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.