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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Mainz
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
7 | 5 | 2 | 0 | +17 | +12.2 | 17 |
| 2 |
RB Leipzig
|
7 | 5 | 2 | 0 | +9 | +2.8 | 17 |
| 3 |
Freiburg
|
7 | 5 | 0 | 2 | +4 | +4.5 | 15 |
| 4 |
Leverkusen
|
7 | 4 | 2 | 1 | +5 | +7.4 | 14 |
| 5 |
Union Berlin
|
7 | 4 | 2 | 1 | +4 | +0.1 | 14 |
| 6 |
Ein Frankfurt
|
7 | 4 | 1 | 2 | +4 | +0.6 | 13 |
| 7 |
Dortmund
|
7 | 4 | 1 | 2 | +2 | +2.4 | 13 |
| 8 |
Werder Bremen
|
7 | 3 | 2 | 2 | -2 | -0.1 | 11 |
| 9 |
Heidenheim
|
7 | 3 | 0 | 4 | +1 | +0.1 | 9 |
| 10 |
Stuttgart
|
7 | 2 | 3 | 2 | +0 | +2.3 | 9 |
| 11 |
M'gladbach
|
7 | 3 | 0 | 4 | -2 | +0.5 | 9 |
| 12 |
Mainz
|
7 | 2 | 2 | 3 | -1 | -5.4 | 8 |
| 13 |
Wolfsburg
|
7 | 2 | 1 | 4 | -1 | -2.3 | 7 |
| 14 |
Hoffenheim
|
7 | 2 | 1 | 4 | -4 | -6.7 | 7 |
| 15 |
Augsburg
|
7 | 2 | 1 | 4 | -8 | -0.5 | 7 |
| 16 |
St Pauli
|
7 | 1 | 1 | 5 | -6 | -4.5 | 4 |
| 17 |
Holstein Kiel
|
7 | 0 | 2 | 5 | -12 | -5.4 | 2 |
| 18 |
Bochum
|
7 | 0 | 1 | 6 | -10 | -8.0 | 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.
R. Zentner
G
D. Kohr
D
M. Jenz
D
A. Caci
M
K. Sano
M
N. Amiri
M
P. Mwene
M
Lee Jae-Sung
F
J. Burkardt
F
Coach: B. Henriksen
M. Nicolas
G
S. Lainer
D
K. Itakura
D
J. Scally
D
R. Reitz
M
F. Honorat
M
A. Pléa
M
R. Hack
M
T. Kleindienst
F
Coach: G. Seoane
Green columns are the outcomes that came in.
Mainz
RB Leipzig
St Pauli
Mainz
Mainz
Heidenheim
Augsburg
Mainz
Mainz
Werder Bremen
M Petersen · 103 kamper i vår database
🟥 Red cards: 0,22 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.