Bundesliga
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Werder Bremen
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
|
1 | 1 | 0 | 0 | +4 | +3.3 | 3 |
| 2 |
Freiburg
|
1 | 1 | 0 | 0 | +3 | +1.8 | 3 |
| 3 |
Augsburg
|
1 | 1 | 0 | 0 | +3 | +1.6 | 3 |
| 4 |
RB Leipzig
|
1 | 1 | 0 | 0 | +3 | +2.9 | 3 |
| 5 |
Dortmund
|
1 | 1 | 0 | 0 | +2 | +0.6 | 3 |
| 6 |
Elversberg
|
1 | 1 | 0 | 0 | +1 | -0.6 | 3 |
| 7 |
Stuttgart
|
2 | 1 | 0 | 1 | -1 | -3.3 | 3 |
| 8 |
FC Koln
|
2 | 1 | 0 | 1 | -2 | +0.1 | 3 |
| 9 |
Union Berlin
|
1 | 0 | 1 | 0 | +0 | +0.4 | 1 |
| 10 |
Ein Frankfurt
|
1 | 0 | 1 | 0 | +0 | -0.4 | 1 |
| 11 |
Mainz
|
1 | 0 | 1 | 0 | +0 | +0.5 | 1 |
| 12 |
Paderborn
|
1 | 0 | 1 | 0 | +0 | -0.5 | 1 |
| 13 |
Hoffenheim
|
1 | 0 | 0 | 1 | -1 | -0.1 | 0 |
| 14 |
Leverkusen
|
1 | 0 | 0 | 1 | -1 | +0.6 | 0 |
| 15 |
Hamburg
|
1 | 0 | 0 | 1 | -2 | -0.6 | 0 |
| 16 |
Werder Bremen
|
1 | 0 | 0 | 1 | -3 | -1.8 | 0 |
| 17 |
Schalke 04
|
1 | 0 | 0 | 1 | -3 | -1.6 | 0 |
| 18 |
M'gladbach
|
1 | 0 | 0 | 1 | -3 | -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.
K. Hein
G
Arthur
D
A. Pieper
D
M. Friedl
D
O. Deman
D
Y. Regeer
M
E. Dinkçi
M
Chuky San José
M
L. Reis
M
M. Grüll
M
N. Füllkrug
F
Coach: D. Thioune
M. Vandevoordt
G
R. Baku
D
W. Orbán
D
M. Estève
D
D. Raum
D
N. El Aynaoui
M
N. Seiwald
M
E. Banzuzi
M
J. Bakayoko
F
C. Nkunku
F
A. Nusa
F
Coach: M. Demichelis
Green columns are the outcomes that came in.
Freiburg
Werder Bremen
Lüneburger SK Hansa
Werder Bremen
Werder Bremen
Dortmund
Hoffenheim
Werder Bremen
Werder Bremen
Augsburg
Benjamin Brand · 55 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.