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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Bayern Munich
Ein Frankfurt
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
17 | 10 | 6 | 1 | +36 | +0.6 | 36 |
| 2 |
Union Berlin
|
18 | 11 | 3 | 4 | +9 | +2.9 | 36 |
| 3 |
RB Leipzig
|
18 | 10 | 5 | 3 | +15 | +1.4 | 35 |
| 4 |
Freiburg
|
18 | 10 | 4 | 4 | +4 | -0.2 | 34 |
| 5 |
Ein Frankfurt
|
17 | 9 | 4 | 4 | +11 | -2.5 | 31 |
| 6 |
Dortmund
|
17 | 10 | 1 | 6 | +6 | +1.6 | 31 |
| 7 |
Wolfsburg
|
18 | 8 | 5 | 5 | +14 | +3.5 | 29 |
| 8 |
M'gladbach
|
18 | 7 | 4 | 7 | +5 | -1.8 | 25 |
| 9 |
Leverkusen
|
17 | 7 | 3 | 7 | +2 | +1.8 | 24 |
| 10 |
Werder Bremen
|
18 | 7 | 3 | 8 | -8 | -1.9 | 24 |
| 11 |
Mainz
|
18 | 6 | 5 | 7 | -3 | -0.3 | 23 |
| 12 |
FC Koln
|
17 | 5 | 6 | 6 | -2 | +2.3 | 21 |
| 13 |
Hoffenheim
|
18 | 5 | 4 | 9 | -5 | -0.5 | 19 |
| 14 |
Augsburg
|
18 | 5 | 3 | 10 | -10 | -0.8 | 18 |
| 15 |
Stuttgart
|
18 | 3 | 7 | 8 | -10 | -0.1 | 16 |
| 16 |
Bochum
|
18 | 5 | 1 | 12 | -25 | -0.8 | 16 |
| 17 |
Hertha
|
18 | 3 | 5 | 10 | -12 | -4.1 | 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.
Y. Sommer
G
J. Stanišić
D
D. Upamecano
D
A. Davies
D
J. Kimmich
M
L. Sané
M
J. Musiala
M
Coach: J. Nagelsmann
K. Trapp
G
E. Ndicka
D
D. Sow
M
A. Knauff
M
J. Lindstrøm
F
M. Götze
F
R. Kolo Muani
F
Coach: O. Glasner
Green columns are the outcomes that came in.
Bayern Munich
FC Koln
RB Leipzig
Bayern Munich
Schalke 04
Bayern Munich
Bayern Munich
Werder Bremen
Hertha
Bayern Munich
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.