Bundesliga
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Stuttgart
Dortmund
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 |
Bayern Munich
|
4 | 3 | 1 | 0 | +12 | +3.3 | 10 |
| 2 |
Freiburg
|
4 | 3 | 1 | 0 | +9 | +1.8 | 10 |
| 3 |
Dortmund
|
3 | 3 | 0 | 0 | +6 | +0.6 | 9 |
| 4 |
Augsburg
|
4 | 2 | 1 | 1 | +5 | +1.6 | 7 |
| 5 |
Mainz
|
4 | 2 | 1 | 1 | +4 | +0.5 | 7 |
| 6 |
Werder Bremen
|
4 | 2 | 1 | 1 | +0 | -1.8 | 7 |
| 7 |
RB Leipzig
|
3 | 2 | 0 | 1 | +6 | +2.9 | 6 |
| 8 |
Elversberg
|
3 | 2 | 0 | 1 | +1 | -0.6 | 6 |
| 9 |
Ein Frankfurt
|
4 | 1 | 2 | 1 | -1 | -0.4 | 5 |
| 10 |
Leverkusen
|
3 | 1 | 1 | 1 | +3 | +0.6 | 4 |
| 11 |
Schalke 04
|
3 | 1 | 1 | 1 | -1 | -1.6 | 4 |
| 12 |
FC Koln
|
4 | 1 | 1 | 2 | -3 | +0.1 | 4 |
| 13 |
Hoffenheim
|
3 | 1 | 0 | 2 | -1 | -0.1 | 3 |
| 14 |
Stuttgart
|
3 | 1 | 0 | 2 | -2 | -3.3 | 3 |
| 15 |
Hamburg
|
4 | 1 | 0 | 3 | -11 | -0.6 | 3 |
| 16 |
Paderborn
|
3 | 0 | 1 | 2 | -4 | -0.5 | 1 |
| 17 |
Union Berlin
|
4 | 0 | 1 | 3 | -13 | +0.4 | 1 |
| 18 |
M'gladbach
|
4 | 0 | 0 | 4 | -10 | -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.
F. Bredlow
G
Finn Jeltsch
D
J. Chabot
D
M. Mittelstädt
D
J. Vagnoman
M
G. Prömel
M
A. Stiller
M
C. Führich
M
B. El Khannouss
F
D. Undav
F
E. Demirović
F
Coach: S. Hoeneb
G. Kobel
G
Kouakou Joane Gadou
D
W. Anton
D
N. Schlotterbeck
D
J. Ryerson
M
J. Veerman
M
F. Nmecha
M
D. Svensson
M
E. Nwaneri
F
M. Beier
F
S. Guirassy
F
Coach: N. Kovač
Green columns are the outcomes that came in.
Hoffenheim
Stuttgart
Stuttgart
Viking
Stuttgart
FC Koln
Bayern Munich
Stuttgart
Hansa Rostock
Stuttgart
Tobias Stieler · 91 kamper i vår database
🟥 Red cards: 0,20 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.