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
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
17 | 10 | 6 | 1 | +36 | +0.6 | 36 |
| 2 |
RB Leipzig
|
17 | 9 | 5 | 3 | +14 | +2.1 | 32 |
| 3 |
Ein Frankfurt
|
16 | 9 | 3 | 4 | +11 | -0.7 | 30 |
| 4 |
Union Berlin
|
16 | 9 | 3 | 4 | +6 | +1.9 | 30 |
| 5 |
Freiburg
|
16 | 9 | 3 | 4 | +2 | -2.0 | 30 |
| 6 |
Wolfsburg
|
17 | 8 | 5 | 4 | +15 | +4.9 | 29 |
| 7 |
Dortmund
|
16 | 9 | 1 | 6 | +5 | +1.2 | 28 |
| 8 |
M'gladbach
|
16 | 6 | 4 | 6 | +3 | -1.0 | 22 |
| 9 |
Leverkusen
|
16 | 6 | 3 | 7 | +0 | +1.0 | 21 |
| 10 |
FC Koln
|
17 | 5 | 6 | 6 | -2 | +2.3 | 21 |
| 11 |
Werder Bremen
|
16 | 6 | 3 | 7 | -8 | -2.9 | 21 |
| 12 |
Mainz
|
16 | 5 | 5 | 6 | -5 | -0.4 | 20 |
| 13 |
Hoffenheim
|
17 | 5 | 4 | 8 | -2 | -0.7 | 19 |
| 14 |
Stuttgart
|
17 | 3 | 7 | 7 | -9 | -0.8 | 16 |
| 15 |
Bochum
|
16 | 5 | 1 | 10 | -20 | +0.6 | 16 |
| 16 |
Augsburg
|
16 | 4 | 3 | 9 | -9 | -1.2 | 15 |
| 17 |
Hertha
|
17 | 3 | 5 | 9 | -10 | -3.5 | 14 |
| 18 |
Schalke 04
|
17 | 2 | 3 | 12 | -27 | -1.3 | 9 |
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
E. Fernandes
D
A. Caci
D
S. Widmer
M
L. Barreiro
M
Lee Jae-Sung
M
Aarón Martín
M
Coach: B. Svensson
G. Kobel
G
J. Ryerson
D
N. Schlotterbeck
D
S. Özcan
M
K. Adeyemi
M
J. Brandt
M
D. Malen
M
Y. Moukoko
F
Coach: E. Terzić
Green columns are the outcomes that came in.
Stuttgart
Mainz
Mainz
Ein Frankfurt
Schalke 04
Mainz
Mainz
Wolfsburg
Bayern Munich
Mainz
S Stegemann · 140 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.