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
M'gladbach
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
|
5 | 4 | 1 | 0 | +13 | +8.4 | 13 |
| 2 |
Ein Frankfurt
|
5 | 4 | 0 | 1 | +5 | +3.5 | 12 |
| 3 |
RB Leipzig
|
5 | 3 | 2 | 0 | +6 | +1.0 | 11 |
| 4 |
Leverkusen
|
5 | 3 | 1 | 1 | +4 | +5.0 | 10 |
| 5 |
Dortmund
|
5 | 3 | 1 | 1 | +2 | +0.8 | 10 |
| 6 |
Heidenheim
|
5 | 3 | 0 | 2 | +3 | +2.1 | 9 |
| 7 |
Freiburg
|
5 | 3 | 0 | 2 | +1 | +4.3 | 9 |
| 8 |
Stuttgart
|
5 | 2 | 2 | 1 | +4 | +4.0 | 8 |
| 9 |
Union Berlin
|
5 | 2 | 2 | 1 | +1 | -0.4 | 8 |
| 10 |
Werder Bremen
|
5 | 2 | 2 | 1 | -3 | +0.1 | 8 |
| 11 |
M'gladbach
|
5 | 2 | 0 | 3 | -2 | -0.3 | 6 |
| 12 |
Mainz
|
5 | 1 | 2 | 2 | -2 | -4.1 | 5 |
| 13 |
Wolfsburg
|
5 | 1 | 1 | 3 | -1 | -3.2 | 4 |
| 14 |
St Pauli
|
5 | 1 | 1 | 3 | -2 | -2.1 | 4 |
| 15 |
Augsburg
|
5 | 1 | 1 | 3 | -7 | -1.0 | 4 |
| 16 |
Hoffenheim
|
5 | 1 | 0 | 4 | -6 | -5.3 | 3 |
| 17 |
Bochum
|
5 | 0 | 1 | 4 | -6 | -7.4 | 1 |
| 18 |
Holstein Kiel
|
5 | 0 | 1 | 4 | -10 | -5.2 | 1 |
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.
N. Labrović
G
M. Bauer
D
J. Gouweleeuw
D
K. Schlotterbeck
D
M. Wolf
M
F. Onyeka
M
K. Jakić
M
E. Rexhbeçaj
M
D. Giannoulis
M
P. Tietz
F
Coach: J. Thorup
M. Nicolas
G
J. Scally
D
K. Itakura
D
N. Elvedi
D
L. Netz
D
P. Sander
M
A. Pléa
M
K. Stöger
M
T. Kleindienst
F
Coach: G. Seoane
Green columns are the outcomes that came in.
RB Leipzig
Augsburg
Augsburg
Mainz
Augsburg
St Pauli
Heidenheim
Augsburg
Augsburg
Werder Bremen
F Badstübner · 96 kamper i vår database
🟥 Red cards: 0,18 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.