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 |
Bayern Munich
|
23 | 19 | 2 | 2 | +37 | 59 |
| 2 |
Dortmund
|
23 | 11 | 7 | 5 | +19 | 40 |
| 3 |
Ein Frankfurt
|
23 | 11 | 6 | 6 | +6 | 39 |
| 4 |
Leverkusen
|
23 | 10 | 8 | 5 | +13 | 38 |
| 5 |
RB Leipzig
|
23 | 11 | 5 | 7 | +5 | 38 |
| 6 |
Schalke 04
|
23 | 10 | 7 | 6 | +6 | 37 |
| 7 |
Hannover
|
23 | 8 | 8 | 7 | -1 | 32 |
| 8 |
Augsburg
|
23 | 8 | 7 | 8 | +3 | 31 |
| 9 |
Hoffenheim
|
23 | 8 | 7 | 8 | +0 | 31 |
| 10 |
M'gladbach
|
23 | 9 | 4 | 10 | -5 | 31 |
| 11 |
Hertha
|
23 | 7 | 9 | 7 | +0 | 30 |
| 12 |
Freiburg
|
23 | 6 | 10 | 7 | -13 | 28 |
| 13 |
Stuttgart
|
23 | 8 | 3 | 12 | -8 | 27 |
| 14 |
Wolfsburg
|
24 | 4 | 13 | 7 | -4 | 25 |
| 15 |
Mainz
|
24 | 6 | 6 | 12 | -13 | 24 |
| 16 |
Werder Bremen
|
23 | 5 | 8 | 10 | -7 | 23 |
| 17 |
Hamburg
|
23 | 4 | 5 | 14 | -16 | 17 |
| 18 |
FC Koln
|
23 | 3 | 5 | 15 | -22 | 14 |
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.
S. Ulreich
G
Coach: J. Heynckes
N. Stark
D
J. Torunarigha
D
D. Selke
F
Coach: P. Dárdai
Green columns are the outcomes that came in.
Wolfsburg
Bayern Munich
Bayern Munich
Schalke 04
Mainz
Bayern Munich
Bayern Munich
Hoffenheim
Bayern Munich
Werder Bremen
Guido Winkmann · 50 kamper i vår database
🟥 Red cards: 0,28 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.