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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RB Leipzig
Schalke 04
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Dortmund
|
33 | 22 | 4 | 7 | +39 | +21.7 | 70 |
| 2 |
Bayern Munich
|
33 | 20 | 8 | 5 | +53 | +16.0 | 68 |
| 3 |
RB Leipzig
|
33 | 19 | 6 | 8 | +21 | +13.6 | 63 |
| 4 |
Union Berlin
|
33 | 17 | 8 | 8 | +12 | -4.9 | 59 |
| 5 |
Freiburg
|
33 | 17 | 8 | 8 | +8 | -4.7 | 59 |
| 6 |
Leverkusen
|
33 | 14 | 8 | 11 | +11 | +9.3 | 50 |
| 7 |
Wolfsburg
|
33 | 13 | 10 | 10 | +10 | +4.0 | 49 |
| 8 |
Ein Frankfurt
|
33 | 12 | 11 | 10 | +5 | +1.1 | 47 |
| 9 |
Mainz
|
33 | 12 | 9 | 12 | -1 | -1.8 | 45 |
| 10 |
FC Koln
|
33 | 10 | 12 | 11 | -4 | +4.1 | 42 |
| 11 |
M'gladbach
|
33 | 10 | 10 | 13 | -5 | -6.1 | 40 |
| 12 |
Werder Bremen
|
33 | 10 | 6 | 17 | -12 | -6.4 | 36 |
| 13 |
Hoffenheim
|
33 | 10 | 5 | 18 | -9 | -4.8 | 35 |
| 14 |
Augsburg
|
33 | 9 | 7 | 17 | -19 | -10.5 | 34 |
| 15 |
Stuttgart
|
33 | 7 | 11 | 15 | -12 | +1.3 | 32 |
| 16 |
Bochum
|
33 | 9 | 5 | 19 | -35 | -10.0 | 32 |
| 17 |
Schalke 04
|
33 | 7 | 10 | 16 | -34 | -7.7 | 31 |
| 18 |
Hertha
|
33 | 6 | 8 | 19 | -28 | -14.0 | 26 |
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.
Ø. Nyland
G
L. Klostermann
D
W. Orbán
D
K. Laimer
M
A. Haidara
M
Dani Olmo
M
C. Nkunku
F
Coach: M. Rose
M. Kamiński
D
A. Král
M
R. Zalazar
M
M. Bülter
M
Coach: T. Reis
Green columns are the outcomes that came in.
Bayern Munich
RB Leipzig
RB Leipzig
Werder Bremen
Freiburg
RB Leipzig
Freiburg
RB Leipzig
RB Leipzig
Hoffenheim
H Osmers · 139 kamper i vår database
🟥 Red cards: 0,19 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.