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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Augsburg
Leverkusen
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: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
12 | 11 | 1 | 0 | +35 | +24.1 | 34 |
| 2 |
RB Leipzig
|
12 | 8 | 2 | 2 | +9 | +6.0 | 26 |
| 3 |
Dortmund
|
12 | 7 | 4 | 1 | +10 | +7.2 | 25 |
| 4 |
Leverkusen
|
12 | 7 | 2 | 3 | +11 | +6.9 | 23 |
| 5 |
Hoffenheim
|
12 | 7 | 2 | 3 | +8 | +1.7 | 23 |
| 6 |
Stuttgart
|
12 | 7 | 1 | 4 | +4 | +2.2 | 22 |
| 7 |
Ein Frankfurt
|
12 | 6 | 3 | 3 | +5 | +4.0 | 21 |
| 8 |
Freiburg
|
12 | 4 | 4 | 4 | -1 | +3.0 | 16 |
| 9 |
M'gladbach
|
13 | 4 | 4 | 5 | -2 | -0.2 | 16 |
| 10 |
Werder Bremen
|
12 | 4 | 4 | 4 | -5 | -6.4 | 16 |
| 11 |
FC Koln
|
12 | 4 | 3 | 5 | +1 | -2.4 | 15 |
| 12 |
Union Berlin
|
12 | 4 | 3 | 5 | -4 | -5.2 | 15 |
| 13 |
Hamburg
|
12 | 3 | 3 | 6 | -7 | -3.8 | 12 |
| 14 |
Augsburg
|
12 | 3 | 1 | 8 | -12 | -9.6 | 10 |
| 15 |
Wolfsburg
|
12 | 2 | 3 | 7 | -8 | -3.2 | 9 |
| 16 |
Heidenheim
|
12 | 2 | 2 | 8 | -17 | -9.7 | 8 |
| 17 |
St Pauli
|
12 | 2 | 1 | 9 | -14 | -6.8 | 7 |
| 18 |
Mainz
|
13 | 1 | 3 | 9 | -13 | -7.9 | 6 |
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. Dahmen
G
N. Banks
D
C. Matsima
D
K. Schlotterbeck
D
R. Fellhauer
M
K. Jakic
M
H. Massengo
M
D. Giannoulis
M
F. Rieder
F
A. Claude-Maurice
F
A. Kade
F
Coach: Sandro Wagner
M. Flekken
G
R. Andrich
D
L. Bade
D
E. Tapsoba
D
J. Hofmann
M
I. Maza
M
A. Garcia
M
E. Poku
M
M. Terrier
F
M. Tillman
F
P. Schick
F
Coach: Kasper Hjulmand
Green columns are the outcomes that came in.
Hoffenheim
Augsburg
Augsburg
Hamburg
Stuttgart
Augsburg
Augsburg
Dortmund
Augsburg
Bochum
Sven Jablonski · 45 kamper i vår database
🟥 Red cards: 0,02 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.