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
Augsburg
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: 3–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
8 | 6 | 1 | 1 | +21 | 19 |
| 2 |
Dortmund
|
8 | 6 | 0 | 2 | +8 | 18 |
| 3 |
Leverkusen
|
8 | 5 | 1 | 2 | +9 | 16 |
| 4 |
Freiburg
|
8 | 4 | 4 | 0 | +6 | 16 |
| 5 |
Union Berlin
|
8 | 4 | 3 | 1 | +3 | 15 |
| 6 |
Wolfsburg
|
8 | 4 | 1 | 3 | -1 | 13 |
| 7 |
FC Koln
|
8 | 3 | 3 | 2 | -1 | 12 |
| 8 |
RB Leipzig
|
8 | 3 | 2 | 3 | +8 | 11 |
| 9 |
Hoffenheim
|
8 | 3 | 2 | 3 | +6 | 11 |
| 10 |
M'gladbach
|
8 | 3 | 2 | 3 | -1 | 11 |
| 11 |
Mainz
|
8 | 3 | 1 | 4 | +0 | 10 |
| 12 |
Stuttgart
|
8 | 2 | 3 | 3 | -1 | 9 |
| 13 |
Hertha
|
8 | 3 | 0 | 5 | -11 | 9 |
| 14 |
Ein Frankfurt
|
8 | 1 | 5 | 2 | -3 | 8 |
| 15 |
Bochum
|
8 | 2 | 1 | 5 | -11 | 7 |
| 16 |
Augsburg
|
8 | 1 | 3 | 4 | -10 | 6 |
| 17 |
Bielefeld
|
8 | 0 | 5 | 3 | -7 | 5 |
| 18 |
Greuther Furth
|
8 | 0 | 1 | 7 | -15 | 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
S. Bell
D
S. Widmer
M
A. Hack
D
Aarón Martín
M
M. Niakhate
D
D. Kohr
M
Lee Jae-Sung
M
J. Burkardt
F
Coach: B. Svensson
J. Gouweleeuw
D
R. Gumny
D
R. Vargas
F
Coach: M. Weinzierl
Green columns are the outcomes that came in.
Dortmund
Mainz
Mainz
Union Berlin
Leverkusen
Mainz
Mainz
Freiburg
Hoffenheim
Mainz
R Hartmann · 103 kamper i vår database
🟥 Red cards: 0,15 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.