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
FC Koln
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
|
13 | 12 | 1 | 0 | +40 | +26.8 | 37 |
| 2 |
RB Leipzig
|
14 | 9 | 2 | 3 | +13 | +8.2 | 29 |
| 3 |
Dortmund
|
13 | 8 | 4 | 1 | +12 | +7.4 | 28 |
| 4 |
Hoffenheim
|
14 | 8 | 2 | 4 | +9 | +1.5 | 26 |
| 5 |
Ein Frankfurt
|
14 | 7 | 3 | 4 | +0 | +1.4 | 24 |
| 6 |
Leverkusen
|
13 | 7 | 2 | 4 | +9 | +7.2 | 23 |
| 7 |
Stuttgart
|
13 | 7 | 1 | 5 | -1 | -0.5 | 22 |
| 8 |
Union Berlin
|
14 | 5 | 3 | 6 | -4 | -3.2 | 18 |
| 9 |
FC Koln
|
13 | 4 | 4 | 5 | +1 | -0.6 | 16 |
| 10 |
Freiburg
|
13 | 4 | 4 | 5 | -2 | +1.8 | 16 |
| 11 |
M'gladbach
|
14 | 4 | 4 | 6 | -4 | -1.1 | 16 |
| 12 |
Werder Bremen
|
13 | 4 | 4 | 5 | -6 | -7.0 | 16 |
| 13 |
Wolfsburg
|
14 | 4 | 3 | 7 | -4 | -3.4 | 15 |
| 14 |
Hamburg
|
14 | 4 | 3 | 7 | -9 | -3.1 | 15 |
| 15 |
Augsburg
|
14 | 4 | 1 | 9 | -11 | -10.4 | 13 |
| 16 |
St Pauli
|
14 | 3 | 2 | 9 | -13 | -10.2 | 11 |
| 17 |
Heidenheim
|
14 | 3 | 2 | 9 | -17 | -6.9 | 11 |
| 18 |
Mainz
|
13 | 1 | 3 | 9 | -13 | -7.9 | 6 |
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.
M. Flekken
G
J. Quansah
D
R. Andrich
D
E. Tapsoba
D
Arthur
M
A. Garcia
M
I. Maza
M
E. Poku
M
J. Hofmann
F
M. Tillman
F
C. Kofane
F
Coach: Kasper Hjulmand
M. Schwabe
G
S. Sebulonsen
D
E. Martel
D
R. van den Berg
D
J. Thielmann
M
D. Huseinbasic
M
T. Krauss
M
J. Kaminski
M
L. Waldschmidt
F
M. Bulter
F
S. El Mala
F
Coach: Lukas Kwasniok
Green columns are the outcomes that came in.
Leverkusen
Newcastle
Augsburg
Leverkusen
Dortmund
Leverkusen
Leverkusen
Dortmund
Man City
Leverkusen
Harm Osmers · 60 kamper i vår database
🟥 Red cards: 0,17 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.