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
Union Berlin
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
|
15 | 12 | 1 | 2 | +31 | 37 |
| 2 |
Dortmund
|
15 | 10 | 1 | 4 | +13 | 31 |
| 3 |
Leverkusen
|
14 | 8 | 3 | 3 | +16 | 27 |
| 4 |
Hoffenheim
|
15 | 8 | 2 | 5 | +9 | 26 |
| 5 |
Freiburg
|
15 | 7 | 4 | 4 | +11 | 25 |
| 6 |
Union Berlin
|
14 | 6 | 5 | 3 | +2 | 23 |
| 7 |
RB Leipzig
|
15 | 6 | 3 | 6 | +10 | 21 |
| 8 |
Mainz
|
15 | 6 | 3 | 6 | +5 | 21 |
| 9 |
Bochum
|
15 | 6 | 2 | 7 | -7 | 20 |
| 10 |
Wolfsburg
|
15 | 6 | 2 | 7 | -7 | 20 |
| 11 |
FC Koln
|
15 | 4 | 7 | 4 | -2 | 19 |
| 12 |
Ein Frankfurt
|
14 | 4 | 6 | 4 | -2 | 18 |
| 13 |
M'gladbach
|
15 | 5 | 3 | 7 | -9 | 18 |
| 14 |
Hertha
|
15 | 5 | 3 | 7 | -12 | 18 |
| 15 |
Stuttgart
|
15 | 4 | 5 | 6 | -3 | 17 |
| 16 |
Augsburg
|
15 | 4 | 4 | 7 | -9 | 16 |
| 17 |
Bielefeld
|
15 | 1 | 7 | 7 | -12 | 10 |
| 18 |
Greuther Furth
|
14 | 0 | 1 | 13 | -34 | 1 |
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.
Leverkusen
Greuther Furth
Greuther Furth
Hoffenheim
M'gladbach
Greuther Furth
Greuther Furth
Ein Frankfurt
Freiburg
Greuther Furth
S Jablonski · 136 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.