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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FC Koln
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
1 | 1 | 0 | 0 | +4 | +2.3 | 3 |
| 2 |
RB Leipzig
|
2 | 1 | 0 | 1 | +3 | +0.8 | 3 |
| 3 |
Union Berlin
|
1 | 1 | 0 | 0 | +3 | -0.4 | 3 |
| 4 |
Wolfsburg
|
1 | 1 | 0 | 0 | +2 | +1.0 | 3 |
| 5 |
Stuttgart
|
2 | 1 | 0 | 1 | +1 | +1.7 | 3 |
| 6 |
Leverkusen
|
1 | 1 | 0 | 0 | +1 | -0.2 | 3 |
| 7 |
Freiburg
|
1 | 1 | 0 | 0 | +1 | +1.1 | 3 |
| 8 |
Dortmund
|
1 | 1 | 0 | 0 | +1 | +0.8 | 3 |
| 9 |
Ein Frankfurt
|
1 | 1 | 0 | 0 | +1 | +1.0 | 3 |
| 10 |
Augsburg
|
1 | 0 | 1 | 0 | +0 | +0.6 | 1 |
| 11 |
M'gladbach
|
1 | 0 | 1 | 0 | +0 | -0.6 | 1 |
| 12 |
Hoffenheim
|
1 | 0 | 0 | 1 | -1 | -1.1 | 0 |
| 13 |
FC Koln
|
1 | 0 | 0 | 1 | -1 | -0.8 | 0 |
| 14 |
Darmstadt
|
1 | 0 | 0 | 1 | -1 | -1.0 | 0 |
| 15 |
Heidenheim
|
1 | 0 | 0 | 1 | -2 | -1.0 | 0 |
| 16 |
Mainz
|
1 | 0 | 0 | 1 | -3 | +0.4 | 0 |
| 17 |
Werder Bremen
|
1 | 0 | 0 | 1 | -4 | -2.3 | 0 |
| 18 |
Bochum
|
1 | 0 | 0 | 1 | -5 | -2.3 | 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.
M. Schwäbe
G
J. Chabot
D
L. Paqarada
D
D. Ljubičić
M
E. Martel
M
R. Carstensen
M
L. Waldschmidt
M
D. Selke
F
Coach: S. Baumgart
J. Mæhle
D
M. Lacroix
D
C. Zesiger
D
N. Cozza
D
M. Svanberg
M
Y. Gerhardt
M
L. Majer
M
V. Černý
F
J. Wind
F
P. Wimmer
F
Coach: N. Kovač
Green columns are the outcomes that came in.
Dortmund
FC Koln
Osnabruck
FC Koln
FC Koln
Bayern Munich
Werder Bremen
FC Koln
FC Koln
Hertha
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.