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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Karlsruhe
Nurnberg
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Hamburg
|
10 | 8 | 0 | 2 | +10 | 24 |
| 2 |
Darmstadt
|
10 | 6 | 3 | 1 | +8 | 21 |
| 3 |
Paderborn
|
10 | 6 | 1 | 3 | +14 | 19 |
| 4 |
Fortuna Dusseldorf
|
10 | 5 | 2 | 3 | +7 | 17 |
| 5 |
Heidenheim
|
10 | 4 | 5 | 1 | +7 | 17 |
| 6 |
Hannover
|
10 | 5 | 2 | 3 | +4 | 17 |
| 7 |
Kaiserslautern
|
9 | 3 | 5 | 1 | +3 | 14 |
| 8 |
Holstein Kiel
|
10 | 3 | 4 | 3 | -3 | 13 |
| 9 |
Hansa Rostock
|
10 | 4 | 1 | 5 | -4 | 13 |
| 10 |
Karlsruhe
|
9 | 3 | 2 | 4 | +1 | 11 |
| 11 |
St Pauli
|
10 | 2 | 5 | 3 | -1 | 11 |
| 12 |
Regensburg
|
9 | 3 | 2 | 4 | -7 | 11 |
| 13 |
Nurnberg
|
9 | 3 | 1 | 5 | -6 | 10 |
| 14 |
Sandhausen
|
10 | 2 | 3 | 5 | -3 | 9 |
| 15 |
Greuther Furth
|
10 | 1 | 5 | 4 | -5 | 8 |
| 16 |
Bielefeld
|
10 | 2 | 2 | 6 | -6 | 8 |
| 17 |
Braunschweig
|
9 | 2 | 2 | 5 | -9 | 8 |
| 18 |
Magdeburg
|
9 | 2 | 1 | 6 | -10 | 7 |
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.
M. Gersbeck
G
S. Jung
D
M. Franke
D
M. Wanitzek
M
Coach: C. Eichner
S. Fofana
D
E. Wekesser
D
L. Tempelmann
M
M. Dæhli
M
C. Daferner
F
Coach: R. Klauß
Green columns are the outcomes that came in.
Braunschweig
Karlsruhe
Karlsruhe
Heidenheim
Hamburg
Karlsruhe
Karlsruhe
Hansa Rostock
Regensburg
Karlsruhe
R Kampka · 54 kamper i vår database
🟥 Red cards: 0,17 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.