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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Preußen Münster
Paderborn
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 |
Bielefeld
|
1 | 1 | 0 | 0 | +4 | +2.2 | 3 |
| 2 |
Darmstadt
|
1 | 1 | 0 | 0 | +3 | +0.6 | 3 |
| 3 |
Greuther Furth
|
1 | 1 | 0 | 0 | +1 | +0.1 | 3 |
| 4 |
Karlsruhe
|
1 | 1 | 0 | 0 | +1 | +0.1 | 3 |
| 5 |
Paderborn
|
1 | 1 | 0 | 0 | +1 | +0.4 | 3 |
| 6 |
Schalke 04
|
1 | 1 | 0 | 0 | +1 | +1.7 | 3 |
| 7 |
Elversberg
|
1 | 1 | 0 | 0 | +1 | -0.4 | 3 |
| 8 |
Hannover
|
1 | 1 | 0 | 0 | +1 | +1.2 | 3 |
| 9 |
Braunschweig
|
1 | 1 | 0 | 0 | +1 | -1.3 | 3 |
| 10 |
Dresden
|
1 | 0 | 0 | 1 | -1 | -0.1 | 0 |
| 11 |
Preußen Münster
|
1 | 0 | 0 | 1 | -1 | -0.1 | 0 |
| 12 |
Holstein Kiel
|
1 | 0 | 0 | 1 | -1 | -0.4 | 0 |
| 13 |
Hertha
|
1 | 0 | 0 | 1 | -1 | -1.7 | 0 |
| 14 |
Nurnberg
|
1 | 0 | 0 | 1 | -1 | +0.4 | 0 |
| 15 |
Kaiserslautern
|
1 | 0 | 0 | 1 | -1 | -1.2 | 0 |
| 16 |
Magdeburg
|
1 | 0 | 0 | 1 | -1 | +1.3 | 0 |
| 17 |
Bochum
|
1 | 0 | 0 | 1 | -3 | -0.6 | 0 |
| 18 |
Fortuna Dusseldorf
|
1 | 0 | 0 | 1 | -4 | -2.2 | 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.
J. Schenk
G
J. ter Horst
D
P. Jaeckel
D
Coach: Alexander Ende
T. Scheller
D
C. Brackelmann
D
L. Curda
M
S. Castaneda
M
R. Obermair
M
L. Copado
F
F. Bilbija
F
Coach: Ralf Kettemann
Green columns are the outcomes that came in.
Karlsruhe
Preußen Münster
Ulm
Preußen Münster
Preußen Münster
Hertha
Magdeburg
Preußen Münster
Preußen Münster
Darmstadt
P Schwengers · 28 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.