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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M'gladbach
Dortmund
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
30 | 21 | 7 | 2 | +56 | 70 |
| 2 |
RB Leipzig
|
29 | 19 | 4 | 6 | +25 | 61 |
| 3 |
Hoffenheim
|
30 | 14 | 13 | 3 | +25 | 55 |
| 4 |
Dortmund
|
29 | 15 | 8 | 6 | +29 | 53 |
| 5 |
Hertha
|
30 | 14 | 4 | 12 | +3 | 46 |
| 6 |
Werder Bremen
|
30 | 12 | 6 | 12 | -1 | 42 |
| 7 |
FC Koln
|
30 | 10 | 11 | 9 | +6 | 41 |
| 8 |
Ein Frankfurt
|
30 | 11 | 8 | 11 | -2 | 41 |
| 9 |
Freiburg
|
29 | 12 | 5 | 12 | -15 | 41 |
| 10 |
M'gladbach
|
29 | 11 | 6 | 12 | -4 | 39 |
| 11 |
Schalke 04
|
29 | 10 | 7 | 12 | +4 | 37 |
| 12 |
Leverkusen
|
29 | 10 | 6 | 13 | -2 | 36 |
| 13 |
Mainz
|
30 | 9 | 6 | 15 | -10 | 33 |
| 14 |
Wolfsburg
|
30 | 9 | 6 | 15 | -13 | 33 |
| 15 |
Hamburg
|
30 | 9 | 6 | 15 | -25 | 33 |
| 16 |
Augsburg
|
30 | 8 | 8 | 14 | -20 | 32 |
| 17 |
FC Ingolstadt 04
|
30 | 8 | 4 | 18 | -21 | 28 |
| 18 |
Darmstadt
|
30 | 6 | 3 | 21 | -35 | 21 |
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
A. Christensen
D
N. Elvedi
D
J. Hofmann
M
Coach: D. Hecking
M. Ginter
D
O. Dembélé
F
C. Pulisic
M
Coach: T. Tuchel
Green columns are the outcomes that came in.
Hoffenheim
M'gladbach
FC Koln
M'gladbach
M'gladbach
Hertha
Ein Frankfurt
M'gladbach
M'gladbach
Bayern Munich
Wolfgang Stark · 35 kamper i vår database
🟥 Red cards: 0,11 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.