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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Hertha
Wolfsburg
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 |
Hoffenheim
|
1 | 1 | 0 | 0 | +4 | 3 |
| 2 |
Dortmund
|
1 | 1 | 0 | 0 | +3 | 3 |
| 3 |
RB Leipzig
|
2 | 1 | 0 | 1 | +3 | 3 |
| 4 |
FC Koln
|
1 | 1 | 0 | 0 | +2 | 3 |
| 5 |
Mainz
|
1 | 1 | 0 | 0 | +1 | 3 |
| 6 |
Wolfsburg
|
1 | 1 | 0 | 0 | +1 | 3 |
| 7 |
Stuttgart
|
2 | 1 | 0 | 1 | +0 | 3 |
| 8 |
M'gladbach
|
1 | 0 | 1 | 0 | +0 | 1 |
| 9 |
Bayern Munich
|
1 | 0 | 1 | 0 | +0 | 1 |
| 10 |
Union Berlin
|
1 | 0 | 1 | 0 | +0 | 1 |
| 11 |
Leverkusen
|
1 | 0 | 1 | 0 | +0 | 1 |
| 12 |
Bielefeld
|
1 | 0 | 1 | 0 | +0 | 1 |
| 13 |
Freiburg
|
1 | 0 | 1 | 0 | +0 | 1 |
| 14 |
Bochum
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
Hertha
|
1 | 0 | 0 | 1 | -2 | 0 |
| 16 |
Ein Frankfurt
|
1 | 0 | 0 | 1 | -3 | 0 |
| 17 |
Greuther Furth
|
1 | 0 | 0 | 1 | -4 | 0 |
| 18 |
Augsburg
|
1 | 0 | 0 | 1 | -4 | 0 |
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.
A. Schwolow
G
N. Stark
D
D. Selke
F
D. Lukébakio
M
Coach: P. Dárdai
K. Mbabu
D
R. Baku
M
M. Lacroix
D
M. Arnold
M
R. Steffen
M
X. Schlager
M
W. Weghorst
F
Coach: M. van Bommel
Green columns are the outcomes that came in.
FC Koln
Hertha
Hoffenheim
Hertha
Hertha
FC Koln
Schalke 04
Hertha
Hertha
Bielefeld
M Jöllenbeck · 86 kamper i vår database
🟥 Red cards: 0,18 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.