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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Bayern Munich
Hertha
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 |
Dortmund
|
22 | 15 | 6 | 1 | +31 | 51 |
| 2 |
Bayern Munich
|
22 | 15 | 3 | 4 | +24 | 48 |
| 3 |
M'gladbach
|
22 | 13 | 4 | 5 | +20 | 43 |
| 4 |
RB Leipzig
|
22 | 12 | 5 | 5 | +22 | 41 |
| 5 |
Leverkusen
|
22 | 11 | 3 | 8 | +7 | 36 |
| 6 |
Wolfsburg
|
22 | 10 | 5 | 7 | +5 | 35 |
| 7 |
Ein Frankfurt
|
22 | 9 | 7 | 6 | +13 | 34 |
| 8 |
Hoffenheim
|
22 | 8 | 9 | 5 | +12 | 33 |
| 9 |
Werder Bremen
|
23 | 8 | 8 | 7 | +4 | 32 |
| 10 |
Hertha
|
22 | 8 | 8 | 6 | +3 | 32 |
| 11 |
Mainz
|
22 | 7 | 6 | 9 | -13 | 27 |
| 12 |
Fortuna Dusseldorf
|
22 | 7 | 4 | 11 | -16 | 25 |
| 13 |
Freiburg
|
22 | 5 | 9 | 8 | -8 | 24 |
| 14 |
Schalke 04
|
22 | 6 | 5 | 11 | -7 | 23 |
| 15 |
Augsburg
|
22 | 4 | 6 | 12 | -9 | 18 |
| 16 |
Stuttgart
|
23 | 4 | 4 | 15 | -32 | 16 |
| 17 |
Hannover
|
22 | 3 | 5 | 14 | -27 | 14 |
| 18 |
Nurnberg
|
22 | 2 | 7 | 13 | -29 | 13 |
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.
M. Neuer
G
J. Kimmich
D
S. Gnabry
M
Coach: N. Kovač
N. Stark
D
M. Mittelstädt
D
D. Selke
F
Coach: P. Dárdai
Green columns are the outcomes that came in.
Augsburg
Bayern Munich
Bayern Munich
Schalke 04
Leverkusen
Bayern Munich
Bayern Munich
Stuttgart
Hoffenheim
Bayern Munich
Harm Osmers · 60 kamper i vår database
🟥 Red cards: 0,17 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.