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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Hamburg
Mainz
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
|
24 | 19 | 3 | 2 | +37 | 60 |
| 2 |
Dortmund
|
24 | 11 | 8 | 5 | +19 | 41 |
| 3 |
Schalke 04
|
24 | 11 | 7 | 6 | +8 | 40 |
| 4 |
Ein Frankfurt
|
24 | 11 | 6 | 7 | +5 | 39 |
| 5 |
Leverkusen
|
24 | 10 | 8 | 6 | +11 | 38 |
| 6 |
RB Leipzig
|
24 | 11 | 5 | 8 | +4 | 38 |
| 7 |
M'gladbach
|
25 | 10 | 5 | 10 | -4 | 35 |
| 8 |
Augsburg
|
24 | 8 | 8 | 8 | +3 | 32 |
| 9 |
Hoffenheim
|
24 | 8 | 8 | 8 | +0 | 32 |
| 10 |
Hannover
|
24 | 8 | 8 | 8 | -2 | 32 |
| 11 |
Hertha
|
24 | 7 | 10 | 7 | +0 | 31 |
| 12 |
Stuttgart
|
24 | 9 | 3 | 12 | -7 | 30 |
| 13 |
Freiburg
|
24 | 6 | 11 | 7 | -13 | 29 |
| 14 |
Werder Bremen
|
25 | 6 | 9 | 10 | -6 | 27 |
| 15 |
Wolfsburg
|
24 | 4 | 13 | 7 | -4 | 25 |
| 16 |
Mainz
|
24 | 6 | 6 | 12 | -13 | 24 |
| 17 |
Hamburg
|
24 | 4 | 5 | 15 | -17 | 17 |
| 18 |
FC Koln
|
24 | 4 | 5 | 15 | -21 | 17 |
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.
R. van Drongelen
D
F. Kostić
M
B. Jatta
M
Coach: B. Hollerbach
F. Müller
G
S. Bell
D
G. Holtmann
M
Coach: S. Schwarz
Green columns are the outcomes that came in.
Werder Bremen
Hamburg
Hamburg
Leverkusen
Dortmund
Hamburg
Hamburg
Hannover
RB Leipzig
Hamburg
Markus Schmidt · 41 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.