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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Holstein Kiel
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Fortuna Dusseldorf
|
2 | 2 | 0 | 0 | +2 | 6 |
| 2 |
Paderborn
|
2 | 1 | 0 | 1 | +4 | 3 |
| 3 |
Regensburg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 4 |
Hamburg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 5 |
St Pauli
|
1 | 1 | 0 | 0 | +1 | 3 |
| 6 |
Kaiserslautern
|
1 | 1 | 0 | 0 | +1 | 3 |
| 7 |
Heidenheim
|
1 | 1 | 0 | 0 | +1 | 3 |
| 8 |
Sandhausen
|
2 | 1 | 0 | 1 | +0 | 3 |
| 9 |
Darmstadt
|
2 | 1 | 0 | 1 | -1 | 3 |
| 10 |
Greuther Furth
|
1 | 0 | 1 | 0 | +0 | 1 |
| 11 |
Holstein Kiel
|
1 | 0 | 1 | 0 | +0 | 1 |
| 12 |
Nurnberg
|
1 | 0 | 0 | 1 | -1 | 0 |
| 13 |
Bielefeld
|
1 | 0 | 0 | 1 | -1 | 0 |
| 14 |
Hannover
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
Magdeburg
|
1 | 0 | 0 | 1 | -1 | 0 |
| 16 |
Hansa Rostock
|
1 | 0 | 0 | 1 | -1 | 0 |
| 17 |
Braunschweig
|
1 | 0 | 0 | 1 | -2 | 0 |
| 18 |
Karlsruhe
|
1 | 0 | 0 | 1 | -5 | 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.
T. Dähne
G
T. Becker
D
P. Sander
M
F. Reese
M
J. Arp
F
B. Pichler
F
Coach: M. Rapp
B. Tomiak
D
J. Niehues
M
M. Ritter
M
D. Hanslik
M
Coach: D. Schuster
Green columns are the outcomes that came in.
Greuther Furth
Holstein Kiel
Sandhausen
Holstein Kiel
Holstein Kiel
Nurnberg
Werder Bremen
Holstein Kiel
Holstein Kiel
Heidenheim
T Stieler · 150 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.