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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Bayern Munich
Darmstadt
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 |
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 |
Augsburg
|
8 | 2 | 2 | 4 | -4 | +0.1 | 8 |
| 11 |
Heidenheim
|
8 | 2 | 1 | 5 | -8 | -9.6 | 7 |
| 12 |
Darmstadt
|
8 | 2 | 1 | 5 | -9 | -6.1 | 7 |
| 13 |
M'gladbach
|
8 | 1 | 3 | 4 | -5 | -0.8 | 6 |
| 14 |
Werder Bremen
|
8 | 2 | 0 | 6 | -6 | -4.1 | 6 |
| 15 |
Union Berlin
|
8 | 2 | 0 | 6 | -6 | -1.0 | 6 |
| 16 |
Bochum
|
9 | 0 | 5 | 4 | -15 | -10.2 | 5 |
| 17 |
FC Koln
|
8 | 1 | 1 | 6 | -8 | -4.9 | 4 |
| 18 |
Mainz
|
9 | 0 | 3 | 6 | -15 | -6.2 | 3 |
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. Neuer
G
N. Mazraoui
D
Kim Min-Jae
D
A. Davies
D
K. Laimer
M
J. Kimmich
M
J. Musiala
M
L. Sané
M
H. Kane
F
Coach: T. Tuchel
M. Schuhen
G
C. Klarer
D
M. Maglica
D
M. Mehlem
F
T. Skarke
F
Coach: T. Lieberknecht
Green columns are the outcomes that came in.
Galatasaray
Bayern Munich
Mainz
Bayern Munich
Bayern Munich
Freiburg
FC Copenhagen
Bayern Munich
RB Leipzig
Bayern Munich
M Petersen · 103 kamper i vår database
🟥 Red cards: 0,22 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.