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
Hoffenheim
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
|
20 | 12 | 7 | 1 | +41 | +2.7 | 43 |
| 2 |
Union Berlin
|
20 | 13 | 3 | 4 | +11 | +3.7 | 42 |
| 3 |
Dortmund
|
20 | 13 | 1 | 6 | +14 | +4.0 | 40 |
| 4 |
Freiburg
|
20 | 11 | 4 | 5 | +1 | -0.3 | 37 |
| 5 |
RB Leipzig
|
20 | 10 | 6 | 4 | +14 | +0.9 | 36 |
| 6 |
Ein Frankfurt
|
20 | 10 | 5 | 5 | +11 | -2.9 | 35 |
| 7 |
Wolfsburg
|
20 | 8 | 6 | 6 | +12 | +5.5 | 30 |
| 8 |
Leverkusen
|
20 | 8 | 3 | 9 | +1 | +3.2 | 27 |
| 9 |
Werder Bremen
|
20 | 8 | 3 | 9 | -8 | -4.7 | 27 |
| 10 |
M'gladbach
|
20 | 7 | 5 | 8 | +2 | -4.1 | 26 |
| 11 |
FC Koln
|
20 | 6 | 8 | 6 | +1 | +1.8 | 26 |
| 12 |
Mainz
|
20 | 7 | 5 | 8 | -2 | +0.9 | 26 |
| 13 |
Augsburg
|
20 | 6 | 3 | 11 | -11 | -1.4 | 21 |
| 14 |
Hoffenheim
|
20 | 5 | 4 | 11 | -10 | -2.9 | 19 |
| 15 |
Bochum
|
20 | 6 | 1 | 13 | -25 | -2.4 | 19 |
| 16 |
Hertha
|
20 | 4 | 5 | 11 | -12 | -3.0 | 17 |
| 17 |
Stuttgart
|
20 | 3 | 7 | 10 | -13 | -0.5 | 16 |
| 18 |
Schalke 04
|
20 | 2 | 6 | 12 | -27 | -0.5 | 12 |
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. Gumny
D
J. Gouweleeuw
D
F. Uduokhai
D
Renato Veiga
D
A. Engels
M
E. Rexhbeçaj
M
E. Demirović
M
M. Berisha
F
Coach: E. Maaßen
O. Baumann
G
O. Kabak
D
T. Delaney
M
U. Tohumcu
M
Angeliño
M
K. Dolberg
F
Coach: P. Matarazzo
Green columns are the outcomes that came in.
Mainz
Augsburg
Augsburg
Leverkusen
Freiburg
Augsburg
Augsburg
M'gladbach
Dortmund
Augsburg
P Ittrich · 74 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.