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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Stuttgart
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
31 | 24 | 3 | 4 | +62 | 75 |
| 2 |
Dortmund
|
31 | 20 | 3 | 8 | +31 | 63 |
| 3 |
Leverkusen
|
31 | 16 | 7 | 8 | +28 | 55 |
| 4 |
RB Leipzig
|
31 | 16 | 6 | 9 | +33 | 54 |
| 5 |
Freiburg
|
31 | 14 | 10 | 7 | +15 | 52 |
| 6 |
Union Berlin
|
32 | 14 | 9 | 9 | +2 | 51 |
| 7 |
FC Koln
|
31 | 13 | 10 | 8 | +2 | 49 |
| 8 |
Hoffenheim
|
31 | 13 | 7 | 11 | +5 | 46 |
| 9 |
Ein Frankfurt
|
31 | 10 | 10 | 11 | -2 | 40 |
| 10 |
Mainz
|
31 | 11 | 6 | 14 | +2 | 39 |
| 11 |
M'gladbach
|
31 | 10 | 8 | 13 | -13 | 38 |
| 12 |
Wolfsburg
|
31 | 11 | 4 | 16 | -12 | 37 |
| 13 |
Bochum
|
31 | 10 | 6 | 15 | -15 | 36 |
| 14 |
Augsburg
|
31 | 9 | 8 | 14 | -11 | 35 |
| 15 |
Hertha
|
31 | 9 | 5 | 17 | -32 | 32 |
| 16 |
Stuttgart
|
31 | 6 | 10 | 15 | -19 | 28 |
| 17 |
Bielefeld
|
31 | 5 | 11 | 15 | -25 | 26 |
| 18 |
Greuther Furth
|
32 | 3 | 9 | 20 | -51 | 18 |
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.
F. Müller
G
A. Karazor
M
W. Anton
D
B. Sosa
M
K. Mavropanos
D
H. Ito
D
W. Endo
M
S. Kalajdzic
F
Omar Marmoush
F
Tiago Tomás
F
Coach: P. Matarazzo
R. Baku
D
M. Lacroix
D
M. Arnold
M
Y. Gerhardt
M
X. Schlager
M
L. Nmecha
F
J. Wind
F
Coach: F. Kohfeldt
Green columns are the outcomes that came in.
Hertha
Stuttgart
Mainz
Stuttgart
Stuttgart
Dortmund
Bielefeld
Stuttgart
Stuttgart
Augsburg
S Jablonski · 136 kamper i vår database
🟥 Red cards: 0,13 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.