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
Kaiserslautern
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 |
Paderborn
|
5 | 4 | 0 | 1 | +12 | 12 |
| 2 |
Darmstadt
|
5 | 4 | 0 | 1 | +5 | 12 |
| 3 |
Heidenheim
|
4 | 3 | 0 | 1 | +6 | 9 |
| 4 |
Hamburg
|
5 | 3 | 0 | 2 | +3 | 9 |
| 5 |
Fortuna Dusseldorf
|
5 | 2 | 2 | 1 | +1 | 8 |
| 6 |
Holstein Kiel
|
5 | 2 | 2 | 1 | -1 | 8 |
| 7 |
St Pauli
|
4 | 2 | 1 | 1 | +3 | 7 |
| 8 |
Hannover
|
5 | 2 | 1 | 2 | +2 | 7 |
| 9 |
Karlsruhe
|
5 | 2 | 1 | 2 | +1 | 7 |
| 10 |
Kaiserslautern
|
4 | 2 | 1 | 1 | +1 | 7 |
| 11 |
Nurnberg
|
5 | 2 | 1 | 2 | -1 | 7 |
| 12 |
Regensburg
|
5 | 2 | 1 | 2 | -2 | 7 |
| 13 |
Sandhausen
|
5 | 2 | 0 | 3 | -1 | 6 |
| 14 |
Hansa Rostock
|
4 | 2 | 0 | 2 | -3 | 6 |
| 15 |
Greuther Furth
|
4 | 0 | 3 | 1 | -2 | 3 |
| 16 |
Magdeburg
|
5 | 1 | 0 | 4 | -8 | 3 |
| 17 |
Braunschweig
|
5 | 0 | 1 | 4 | -9 | 1 |
| 18 |
Bielefeld
|
4 | 0 | 0 | 4 | -7 | 0 |
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.
A. Linde
G
S. Asta
D
L. Itter
D
T. Raschl
M
B. Hrgota
F
Coach: M. Schneider
B. Tomiak
D
M. Ritter
M
J. Niehues
M
Coach: D. Schuster
Green columns are the outcomes that came in.
Fortuna Dusseldorf
Greuther Furth
Greuther Furth
Karlsruhe
Stuttgarter Kickers
Greuther Furth
Nurnberg
Greuther Furth
Greuther Furth
Holstein Kiel
T Stieler · 148 kamper i vår database
🟥 Red cards: 0,18 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.