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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Nurnberg
Hannover
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 |
Hamburg
|
23 | 11 | 9 | 3 | +22 | 42 |
| 2 |
FC Koln
|
23 | 12 | 5 | 6 | +8 | 41 |
| 3 |
Kaiserslautern
|
23 | 11 | 6 | 6 | +5 | 39 |
| 4 |
Magdeburg
|
23 | 10 | 8 | 5 | +12 | 38 |
| 5 |
Paderborn
|
23 | 10 | 8 | 5 | +8 | 38 |
| 6 |
Fortuna Dusseldorf
|
24 | 10 | 8 | 6 | +7 | 38 |
| 7 |
Elversberg
|
23 | 10 | 6 | 7 | +10 | 36 |
| 8 |
Hannover
|
23 | 9 | 8 | 6 | +6 | 35 |
| 9 |
Nurnberg
|
23 | 10 | 5 | 8 | +4 | 35 |
| 10 |
Karlsruhe
|
23 | 9 | 6 | 8 | +0 | 33 |
| 11 |
Greuther Furth
|
24 | 9 | 5 | 10 | -8 | 32 |
| 12 |
Schalke 04
|
24 | 8 | 6 | 10 | -3 | 30 |
| 13 |
Darmstadt
|
23 | 7 | 7 | 9 | +3 | 28 |
| 14 |
Hertha
|
23 | 7 | 5 | 11 | -4 | 26 |
| 15 |
Preußen Münster
|
24 | 5 | 8 | 11 | -7 | 23 |
| 16 |
Braunschweig
|
23 | 5 | 6 | 12 | -21 | 21 |
| 17 |
Ulm
|
23 | 3 | 9 | 11 | -6 | 18 |
| 18 |
Regensburg
|
23 | 4 | 3 | 16 | -36 | 15 |
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.
Hertha
Nurnberg
Nurnberg
Ulm
Magdeburg
Nurnberg
Nurnberg
Darmstadt
Schalke 04
Nurnberg
T Bauer · 39 kamper i vår database
🟥 Red cards: 0,21 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.