Bundesliga
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Schalke 04
Bayern Munich
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 |
Freiburg
|
2 | 2 | 0 | 0 | +4 | +1.8 | 6 |
| 2 |
Dortmund
|
2 | 2 | 0 | 0 | +3 | +0.6 | 6 |
| 3 |
Elversberg
|
2 | 2 | 0 | 0 | +2 | -0.6 | 6 |
| 4 |
Bayern Munich
|
1 | 1 | 0 | 0 | +4 | +3.3 | 3 |
| 5 |
Leverkusen
|
2 | 1 | 0 | 1 | +3 | +0.6 | 3 |
| 6 |
Augsburg
|
1 | 1 | 0 | 0 | +3 | +1.6 | 3 |
| 7 |
RB Leipzig
|
2 | 1 | 0 | 1 | +1 | +2.9 | 3 |
| 8 |
Stuttgart
|
2 | 1 | 0 | 1 | -1 | -3.3 | 3 |
| 9 |
Werder Bremen
|
2 | 1 | 0 | 1 | -1 | -1.8 | 3 |
| 10 |
FC Koln
|
2 | 1 | 0 | 1 | -2 | +0.1 | 3 |
| 11 |
Ein Frankfurt
|
1 | 0 | 1 | 0 | +0 | -0.4 | 1 |
| 12 |
Mainz
|
1 | 0 | 1 | 0 | +0 | +0.5 | 1 |
| 13 |
Paderborn
|
2 | 0 | 1 | 1 | -1 | -0.5 | 1 |
| 14 |
Union Berlin
|
2 | 0 | 1 | 1 | -4 | +0.4 | 1 |
| 15 |
Hoffenheim
|
2 | 0 | 0 | 2 | -2 | -0.1 | 0 |
| 16 |
Hamburg
|
1 | 0 | 0 | 1 | -2 | -0.6 | 0 |
| 17 |
Schalke 04
|
1 | 0 | 0 | 1 | -3 | -1.6 | 0 |
| 18 |
M'gladbach
|
2 | 0 | 0 | 2 | -4 | -2.9 | 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.
L. Karius
G
T. Becker
D
N. Katić
D
H. Kuruçay
D
J. Dina Ebimbe
M
S. El-Faouzi
M
S. Tanaka
M
R. Gosens
M
D. Ljubičić
M
A. Aouchiche
M
M. Sylla
F
Coach: M. Muslić
M. Neuer
G
K. Laimer
D
D. Upamecano
D
J. Tah
D
A. Davies
D
J. Kimmich
M
A. Pavlović
M
L. Karl
M
N. Brown
M
L. Díaz
M
I. Saibari
F
Coach: V. Kompany
Green columns are the outcomes that came in.
Augsburg
Schalke 04
Hallescher FC
Schalke 04
Schalke 04
Braunschweig
Nurnberg
Schalke 04
Schalke 04
Fortuna Dusseldorf
Robert Schröder · 22 kamper i vår database
🟥 Red cards: 0,09 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.