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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Bielefeld
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
29 | 21 | 5 | 3 | +45 | 68 |
| 2 |
RB Leipzig
|
30 | 18 | 7 | 5 | +28 | 61 |
| 3 |
Wolfsburg
|
29 | 15 | 9 | 5 | +22 | 54 |
| 4 |
Ein Frankfurt
|
29 | 14 | 11 | 4 | +15 | 53 |
| 5 |
Dortmund
|
29 | 15 | 4 | 10 | +20 | 49 |
| 6 |
Leverkusen
|
29 | 13 | 8 | 8 | +16 | 47 |
| 7 |
M'gladbach
|
29 | 11 | 10 | 8 | +9 | 43 |
| 8 |
Union Berlin
|
29 | 10 | 13 | 6 | +9 | 43 |
| 9 |
Freiburg
|
29 | 11 | 7 | 11 | +2 | 40 |
| 10 |
Stuttgart
|
29 | 10 | 9 | 10 | +5 | 39 |
| 11 |
Augsburg
|
29 | 9 | 6 | 14 | -13 | 33 |
| 12 |
Hoffenheim
|
29 | 8 | 8 | 13 | -6 | 32 |
| 13 |
Werder Bremen
|
29 | 7 | 9 | 13 | -14 | 30 |
| 14 |
Mainz
|
28 | 7 | 7 | 14 | -18 | 28 |
| 15 |
Bielefeld
|
29 | 7 | 6 | 16 | -24 | 27 |
| 16 |
Hertha
|
28 | 6 | 8 | 14 | -14 | 26 |
| 17 |
FC Koln
|
30 | 6 | 8 | 16 | -25 | 26 |
| 18 |
Schalke 04
|
29 | 2 | 7 | 20 | -57 | 13 |
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.
S. Ortega Moreno
G
A. Pieper
D
R. Doan
F
Coach: F. Kramer
S. Kolašinac
M
M. Thiaw
D
A. Harit
F
M. Aydin
M
Gonçalo Paciência
F
Coach: D. Grammozis
Green columns are the outcomes that came in.
Augsburg
Bielefeld
Bielefeld
Freiburg
Mainz
Bielefeld
Bielefeld
RB Leipzig
Leverkusen
Bielefeld
C Dingert · 108 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.