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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Wolfsburg
RB Leipzig
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 |
Bayern Munich
|
12 | 10 | 2 | 0 | +34 | +27.9 | 32 |
| 2 |
Leverkusen
|
11 | 10 | 1 | 0 | +24 | +12.0 | 31 |
| 3 |
Stuttgart
|
11 | 8 | 0 | 3 | +15 | +16.0 | 24 |
| 4 |
RB Leipzig
|
11 | 7 | 2 | 2 | +18 | +5.5 | 23 |
| 5 |
Dortmund
|
11 | 6 | 3 | 2 | +4 | +0.8 | 21 |
| 6 |
Hoffenheim
|
11 | 6 | 1 | 4 | +3 | -0.9 | 19 |
| 7 |
Ein Frankfurt
|
11 | 4 | 6 | 1 | +6 | +1.7 | 18 |
| 8 |
Freiburg
|
11 | 4 | 2 | 5 | -8 | -1.5 | 14 |
| 9 |
M'gladbach
|
11 | 3 | 4 | 4 | +0 | -0.2 | 13 |
| 10 |
Augsburg
|
11 | 3 | 4 | 4 | -3 | +0.7 | 13 |
| 11 |
Wolfsburg
|
11 | 4 | 1 | 6 | -5 | -0.6 | 13 |
| 12 |
Werder Bremen
|
11 | 3 | 2 | 6 | -4 | -4.6 | 11 |
| 13 |
Heidenheim
|
11 | 3 | 1 | 7 | -9 | -13.0 | 10 |
| 14 |
Bochum
|
11 | 1 | 6 | 4 | -14 | -7.2 | 9 |
| 15 |
Darmstadt
|
11 | 2 | 2 | 7 | -18 | -11.9 | 8 |
| 16 |
Mainz
|
11 | 1 | 4 | 6 | -13 | -5.4 | 7 |
| 17 |
Union Berlin
|
11 | 2 | 0 | 9 | -15 | -4.4 | 6 |
| 18 |
FC Koln
|
12 | 1 | 3 | 8 | -15 | -14.8 | 6 |
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. Lacroix
D
S. Bornauw
D
C. Zesiger
D
R. Baku
M
M. Svanberg
M
V. Černý
F
J. Wind
F
L. Majer
F
Coach: N. Kovač
J. Blaswich
G
B. Henrichs
D
C. Lukeba
D
D. Raum
D
A. Haidara
M
X. Schlager
M
Y. Poulsen
F
L. Openda
F
Coach: M. Rose
Green columns are the outcomes that came in.
M'gladbach
Wolfsburg
Wolfsburg
Werder Bremen
Wolfsburg
RB Leipzig
Augsburg
Wolfsburg
Wolfsburg
Leverkusen
R Hartmann · 103 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.