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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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: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
34 | 24 | 6 | 4 | +56 | 78 |
| 2 |
Dortmund
|
34 | 23 | 7 | 4 | +37 | 76 |
| 3 |
RB Leipzig
|
34 | 19 | 9 | 6 | +34 | 66 |
| 4 |
Leverkusen
|
34 | 18 | 4 | 12 | +17 | 58 |
| 5 |
M'gladbach
|
34 | 16 | 7 | 11 | +13 | 55 |
| 6 |
Wolfsburg
|
34 | 16 | 7 | 11 | +12 | 55 |
| 7 |
Ein Frankfurt
|
34 | 15 | 9 | 10 | +12 | 54 |
| 8 |
Werder Bremen
|
34 | 14 | 11 | 9 | +9 | 53 |
| 9 |
Hoffenheim
|
34 | 13 | 12 | 9 | +18 | 51 |
| 10 |
Fortuna Dusseldorf
|
34 | 13 | 5 | 16 | -16 | 44 |
| 11 |
Hertha
|
34 | 11 | 10 | 13 | -8 | 43 |
| 12 |
Mainz
|
34 | 12 | 7 | 15 | -11 | 43 |
| 13 |
Freiburg
|
34 | 8 | 12 | 14 | -15 | 36 |
| 14 |
Schalke 04
|
34 | 8 | 9 | 17 | -18 | 33 |
| 15 |
Augsburg
|
34 | 8 | 8 | 18 | -20 | 32 |
| 16 |
Stuttgart
|
34 | 7 | 7 | 20 | -38 | 28 |
| 17 |
Hannover
|
34 | 5 | 6 | 23 | -40 | 21 |
| 18 |
Nurnberg
|
34 | 3 | 10 | 21 | -42 | 19 |
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.
Ron-Robert Zieler
G
Benjamin Pavard
D
Ozan Kabak
D
Marc-Oliver Kempf
D
Nicolás González
M
Christopher Trimmel
D
Grischa Prömel
M
Marcel Hartel
F
Green columns are the outcomes that came in.
Schalke 04
Stuttgart
Stuttgart
Wolfsburg
Hertha
Stuttgart
Stuttgart
M'gladbach
Augsburg
Stuttgart
Bastian Dankert · 75 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.