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
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: 0–3
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
29 | 22 | 3 | 4 | +57 | 69 |
| 2 |
Dortmund
|
30 | 20 | 3 | 7 | +33 | 63 |
| 3 |
Leverkusen
|
29 | 15 | 7 | 7 | +26 | 52 |
| 4 |
RB Leipzig
|
29 | 15 | 6 | 8 | +33 | 51 |
| 5 |
Freiburg
|
30 | 14 | 9 | 7 | +15 | 51 |
| 6 |
Hoffenheim
|
29 | 13 | 5 | 11 | +5 | 44 |
| 7 |
Union Berlin
|
29 | 12 | 8 | 9 | -1 | 44 |
| 8 |
FC Koln
|
29 | 11 | 10 | 8 | -2 | 43 |
| 9 |
Mainz
|
30 | 11 | 6 | 13 | +7 | 39 |
| 10 |
Ein Frankfurt
|
29 | 10 | 9 | 10 | +0 | 39 |
| 11 |
M'gladbach
|
29 | 10 | 7 | 12 | -11 | 37 |
| 12 |
Bochum
|
30 | 10 | 6 | 14 | -13 | 36 |
| 13 |
Wolfsburg
|
30 | 10 | 4 | 16 | -17 | 34 |
| 14 |
Augsburg
|
30 | 8 | 8 | 14 | -13 | 32 |
| 15 |
Hertha
|
30 | 8 | 5 | 17 | -34 | 29 |
| 16 |
Stuttgart
|
30 | 6 | 10 | 14 | -17 | 28 |
| 17 |
Bielefeld
|
29 | 5 | 11 | 13 | -20 | 26 |
| 18 |
Greuther Furth
|
29 | 3 | 7 | 19 | -48 | 16 |
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.
Green columns are the outcomes that came in.
Greuther Furth
M'gladbach
M'gladbach
Mainz
Bochum
M'gladbach
M'gladbach
Hertha
Stuttgart
M'gladbach
D Aytekin · 111 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.