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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Hertha
Karlsruhe
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Darmstadt
|
2 | 2 | 0 | 0 | +4 | +0.9 | 6 |
| 2 |
Hannover
|
2 | 2 | 0 | 0 | +3 | +2.5 | 6 |
| 3 |
Braunschweig
|
2 | 2 | 0 | 0 | +2 | -1.1 | 6 |
| 4 |
Paderborn
|
2 | 1 | 1 | 0 | +1 | +2.8 | 4 |
| 5 |
Bielefeld
|
1 | 1 | 0 | 0 | +4 | +2.2 | 3 |
| 6 |
Karlsruhe
|
1 | 1 | 0 | 0 | +1 | +0.1 | 3 |
| 7 |
Elversberg
|
1 | 1 | 0 | 0 | +1 | -0.4 | 3 |
| 8 |
Greuther Furth
|
2 | 1 | 0 | 1 | +0 | -0.2 | 3 |
| 9 |
Schalke 04
|
2 | 1 | 0 | 1 | +0 | +0.8 | 3 |
| 10 |
Magdeburg
|
2 | 1 | 0 | 1 | +0 | -0.5 | 3 |
| 11 |
Kaiserslautern
|
2 | 1 | 0 | 1 | +0 | -0.2 | 3 |
| 12 |
Preußen Münster
|
2 | 0 | 1 | 1 | -1 | -2.5 | 1 |
| 13 |
Holstein Kiel
|
1 | 0 | 0 | 1 | -1 | -0.4 | 0 |
| 14 |
Hertha
|
1 | 0 | 0 | 1 | -1 | -1.7 | 0 |
| 15 |
Dresden
|
2 | 0 | 0 | 2 | -2 | +1.8 | 0 |
| 16 |
Nurnberg
|
2 | 0 | 0 | 2 | -2 | +0.1 | 0 |
| 17 |
Bochum
|
1 | 0 | 0 | 1 | -3 | -0.6 | 0 |
| 18 |
Fortuna Dusseldorf
|
2 | 0 | 0 | 2 | -6 | -3.5 | 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. Ernst
G
L. Gechter
D
M. Dardai
D
D. Zeefuik
M
M. Cuisance
M
L. Jensen
M
M. Winkler
M
M. Krattenmacher
F
F. Reese
F
Coach: Stefan Leitl
C. Bernat
G
S. Jung
D
C. Kobald
D
M. Franke
D
N. Rapp
D
D. Herold
D
L. Egloff
M
M. Wanitzek
M
L. Ben Farhat
F
R. Simic
F
Coach: Christian Eichner
Green columns are the outcomes that came in.
Schalke 04
Hertha
Hertha
Hannover
Preußen Münster
Hertha
Hertha
Greuther Furth
Hertha
Magdeburg
S Storks · 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.