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
Fortuna Dusseldorf
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Darmstadt
|
21 | 11 | 8 | 2 | +18 | +7.7 | 41 |
| 2 |
Schalke 04
|
21 | 12 | 4 | 5 | +10 | +5.5 | 40 |
| 3 |
Paderborn
|
21 | 12 | 3 | 6 | +9 | +10.5 | 39 |
| 4 |
Elversberg
|
21 | 11 | 5 | 5 | +14 | -0.2 | 38 |
| 5 |
Hannover
|
20 | 10 | 5 | 5 | +8 | +7.1 | 35 |
| 6 |
Hertha
|
21 | 9 | 7 | 5 | +8 | -3.1 | 34 |
| 7 |
Kaiserslautern
|
21 | 9 | 4 | 8 | +4 | -1.9 | 31 |
| 8 |
Bochum
|
21 | 7 | 6 | 8 | +3 | +3.7 | 27 |
| 9 |
Nurnberg
|
21 | 7 | 5 | 9 | -6 | +1.6 | 26 |
| 10 |
Karlsruhe
|
20 | 7 | 5 | 8 | -7 | -14.4 | 26 |
| 11 |
Holstein Kiel
|
20 | 6 | 6 | 8 | -1 | -7.2 | 24 |
| 12 |
Braunschweig
|
20 | 7 | 3 | 10 | -11 | +1.2 | 24 |
| 13 |
Magdeburg
|
21 | 7 | 2 | 12 | -6 | +5.1 | 23 |
| 14 |
Fortuna Dusseldorf
|
20 | 7 | 2 | 11 | -11 | -4.8 | 23 |
| 15 |
Preußen Münster
|
21 | 5 | 7 | 9 | -7 | -5.0 | 22 |
| 16 |
Bielefeld
|
20 | 5 | 6 | 9 | +2 | +0.6 | 21 |
| 17 |
Dresden
|
21 | 5 | 6 | 10 | -7 | +0.3 | 21 |
| 18 |
Greuther Furth
|
21 | 5 | 4 | 12 | -20 | -6.6 | 19 |
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.
C. Bernat
G
S. Jung
D
P. Scholl
D
M. Franke
D
D. Herold
D
R. Pinto Pedrosa
M
D. Burnic
M
M. Wanitzek
M
L. Ben Farhat
F
Coach: Christian Eichner
F. Kastenmeier
G
A. El Azzouzi
M
S. Tanaka
M
S. Appelkamp
F
C. Itten
F
Coach: Markus Anfang
Green columns are the outcomes that came in.
Braunschweig
Karlsruhe
Karlsruhe
Hertha
Preußen Münster
Karlsruhe
Bochum
Karlsruhe
Karlsruhe
Paderborn
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.