2. 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
Darmstadt
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 |
Fortuna Dusseldorf
|
11 | 6 | 2 | 3 | +5 | 20 |
| 2 |
Hannover
|
10 | 6 | 1 | 3 | +7 | 19 |
| 3 |
Paderborn
|
10 | 5 | 4 | 1 | +5 | 19 |
| 4 |
Karlsruhe
|
10 | 5 | 4 | 1 | +4 | 19 |
| 5 |
Hamburg
|
10 | 5 | 3 | 2 | +11 | 18 |
| 6 |
Hertha
|
10 | 5 | 2 | 3 | +3 | 17 |
| 7 |
Elversberg
|
10 | 4 | 4 | 2 | +7 | 16 |
| 8 |
Nurnberg
|
10 | 5 | 1 | 4 | +4 | 16 |
| 9 |
Magdeburg
|
10 | 4 | 4 | 2 | +3 | 16 |
| 10 |
Kaiserslautern
|
10 | 4 | 3 | 3 | +2 | 15 |
| 11 |
Greuther Furth
|
10 | 3 | 4 | 3 | +0 | 13 |
| 12 |
FC Koln
|
10 | 3 | 3 | 4 | +2 | 12 |
| 13 |
Darmstadt
|
10 | 2 | 4 | 4 | -3 | 10 |
| 14 |
Preußen Münster
|
11 | 2 | 4 | 5 | -4 | 10 |
| 15 |
Ulm
|
11 | 2 | 3 | 6 | -3 | 9 |
| 16 |
Schalke 04
|
11 | 2 | 3 | 6 | -5 | 9 |
| 17 |
Braunschweig
|
10 | 2 | 2 | 6 | -12 | 8 |
| 18 |
Regensburg
|
10 | 1 | 1 | 8 | -26 | 4 |
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.
Regensburg
Greuther Furth
Schalke 04
Greuther Furth
Greuther Furth
Nurnberg
Magdeburg
Greuther Furth
Greuther Furth
Fortuna Dusseldorf
M Burda · 52 kamper i vår database
🟥 Red cards: 0,04 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.