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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Leverkusen
Darmstadt
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 |
Union Berlin
|
2 | 2 | 0 | 0 | +6 | -0.9 | 6 |
| 2 |
Bayern Munich
|
2 | 2 | 0 | 0 | +6 | +4.5 | 6 |
| 3 |
Leverkusen
|
2 | 2 | 0 | 0 | +4 | +1.3 | 6 |
| 4 |
Wolfsburg
|
2 | 2 | 0 | 0 | +3 | +2.7 | 6 |
| 5 |
Freiburg
|
2 | 2 | 0 | 0 | +2 | +2.5 | 6 |
| 6 |
Dortmund
|
3 | 1 | 2 | 0 | +1 | +2.4 | 5 |
| 7 |
Ein Frankfurt
|
2 | 1 | 1 | 0 | +1 | +0.8 | 4 |
| 8 |
RB Leipzig
|
2 | 1 | 0 | 1 | +3 | +0.8 | 3 |
| 9 |
Stuttgart
|
2 | 1 | 0 | 1 | +1 | +1.7 | 3 |
| 10 |
Hoffenheim
|
2 | 1 | 0 | 1 | +0 | -0.7 | 3 |
| 11 |
Augsburg
|
2 | 0 | 1 | 1 | -2 | -1.6 | 1 |
| 12 |
Heidenheim
|
3 | 0 | 1 | 2 | -3 | -2.6 | 1 |
| 13 |
M'gladbach
|
2 | 0 | 1 | 1 | -3 | -2.1 | 1 |
| 14 |
Mainz
|
2 | 0 | 1 | 1 | -3 | +0.5 | 1 |
| 15 |
Bochum
|
2 | 0 | 1 | 1 | -5 | -2.6 | 1 |
| 16 |
FC Koln
|
2 | 0 | 0 | 2 | -2 | -2.5 | 0 |
| 17 |
Darmstadt
|
2 | 0 | 0 | 2 | -4 | -0.4 | 0 |
| 18 |
Werder Bremen
|
2 | 0 | 0 | 2 | -5 | -3.6 | 0 |
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.
L. Hrádecký
G
O. Kossounou
D
J. Tah
D
E. Tapsoba
D
J. Frimpong
M
E. Palacios
M
G. Xhaka
M
Álex Grimaldo
M
J. Hofmann
F
F. Wirtz
F
V. Boniface
F
Coach: Xabi Alonso
M. Schuhen
G
C. Klarer
D
T. Isherwood
D
B. Franjić
M
M. Mehlem
F
Coach: T. Lieberknecht
Green columns are the outcomes that came in.
M'gladbach
Leverkusen
Leverkusen
RB Leipzig
Teutonia Ottensen
Leverkusen
Bochum
Leverkusen
Leverkusen
M'gladbach
S Jablonski · 136 kamper i vår database
🟥 Red cards: 0,13 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.