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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Greuther Furth
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bayern Munich
|
23 | 18 | 1 | 4 | +48 | 55 |
| 2 |
Dortmund
|
23 | 16 | 1 | 6 | +27 | 49 |
| 3 |
Leverkusen
|
23 | 12 | 5 | 6 | +21 | 41 |
| 4 |
Hoffenheim
|
24 | 12 | 4 | 8 | +11 | 40 |
| 5 |
RB Leipzig
|
23 | 11 | 4 | 8 | +21 | 37 |
| 6 |
Freiburg
|
23 | 10 | 7 | 6 | +10 | 37 |
| 7 |
FC Koln
|
23 | 9 | 8 | 6 | -2 | 35 |
| 8 |
Mainz
|
23 | 10 | 4 | 9 | +8 | 34 |
| 9 |
Union Berlin
|
23 | 9 | 7 | 7 | -2 | 34 |
| 10 |
Ein Frankfurt
|
23 | 8 | 7 | 8 | -2 | 31 |
| 11 |
Bochum
|
23 | 8 | 5 | 10 | -8 | 29 |
| 12 |
Wolfsburg
|
23 | 8 | 3 | 12 | -11 | 27 |
| 13 |
M'gladbach
|
23 | 7 | 5 | 11 | -16 | 26 |
| 14 |
Bielefeld
|
23 | 5 | 10 | 8 | -7 | 25 |
| 15 |
Hertha
|
23 | 6 | 5 | 12 | -26 | 23 |
| 16 |
Augsburg
|
23 | 5 | 7 | 11 | -15 | 22 |
| 17 |
Stuttgart
|
24 | 4 | 7 | 13 | -17 | 19 |
| 18 |
Greuther Furth
|
23 | 3 | 4 | 16 | -40 | 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.
Green columns are the outcomes that came in.
Bayern Munich
Greuther Furth
Greuther Furth
Hertha
Wolfsburg
Greuther Furth
Greuther Furth
Mainz
Bielefeld
Greuther Furth
R Schröder · 105 kamper i vår database
🟥 Red cards: 0,22 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.