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
M'gladbach
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Leverkusen
|
8 | 7 | 1 | 0 | +18 | +9.8 | 22 |
| 2 |
Stuttgart
|
8 | 7 | 0 | 1 | +17 | +9.2 | 21 |
| 3 |
Bayern Munich
|
8 | 6 | 2 | 0 | +19 | +15.7 | 20 |
| 4 |
Dortmund
|
8 | 6 | 2 | 0 | +9 | +7.0 | 20 |
| 5 |
RB Leipzig
|
8 | 5 | 2 | 1 | +12 | +1.3 | 17 |
| 6 |
Hoffenheim
|
8 | 5 | 0 | 3 | +3 | +0.4 | 15 |
| 7 |
Ein Frankfurt
|
8 | 3 | 4 | 1 | +3 | -0.3 | 13 |
| 8 |
Freiburg
|
8 | 4 | 1 | 3 | -5 | -0.8 | 13 |
| 9 |
Wolfsburg
|
8 | 4 | 0 | 4 | +0 | +0.3 | 12 |
| 10 |
Heidenheim
|
7 | 2 | 1 | 4 | -5 | -8.7 | 7 |
| 11 |
Darmstadt
|
8 | 2 | 1 | 5 | -9 | -6.1 | 7 |
| 12 |
M'gladbach
|
7 | 1 | 3 | 3 | -3 | +1.6 | 6 |
| 13 |
Werder Bremen
|
8 | 2 | 0 | 6 | -6 | -4.1 | 6 |
| 14 |
Union Berlin
|
8 | 2 | 0 | 6 | -6 | -1.0 | 6 |
| 15 |
Augsburg
|
7 | 1 | 2 | 4 | -7 | -0.8 | 5 |
| 16 |
Bochum
|
8 | 0 | 4 | 4 | -15 | -11.2 | 4 |
| 17 |
Mainz
|
8 | 0 | 2 | 6 | -15 | -5.2 | 2 |
| 18 |
FC Koln
|
7 | 0 | 1 | 6 | -10 | -7.3 | 1 |
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
R. Carstensen
D
J. Chabot
D
L. Paqarada
D
D. Ljubičić
M
E. Martel
M
L. Maina
M
L. Waldschmidt
M
D. Selke
F
Coach: S. Baumgart
M. Nicolas
G
N. Elvedi
D
M. Wöber
D
F. Honorat
M
F. Neuhaus
M
M. Koné
M
L. Netz
M
A. Pléa
F
Coach: G. Seoane
Green columns are the outcomes that came in.
Leverkusen
FC Koln
FC Koln
Stuttgart
Werder Bremen
FC Koln
FC Koln
Hoffenheim
Ein Frankfurt
FC Koln
D Aytekin · 111 kamper i vår database
🟥 Red cards: 0,19 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.