DFB-Pokal
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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Bielefeld
Bochum
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: 2–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nurnberg
|
1 | 1 | 0 | 0 | +8 | 3 |
| 2 |
Leverkusen
|
1 | 1 | 0 | 0 | +8 | 3 |
| 3 |
M'gladbach
|
1 | 1 | 0 | 0 | +7 | 3 |
| 4 |
Dortmund
|
1 | 1 | 0 | 0 | +5 | 3 |
| 5 |
Hertha
|
1 | 1 | 0 | 0 | +5 | 3 |
| 6 |
St Pauli
|
1 | 1 | 0 | 0 | +5 | 3 |
| 7 |
Stuttgart
|
1 | 1 | 0 | 0 | +4 | 3 |
| 8 |
Schalke 04
|
1 | 1 | 0 | 0 | +2 | 3 |
| 9 |
Holstein Kiel
|
1 | 1 | 0 | 0 | +2 | 3 |
| 10 |
FC Viktoria Koln
|
1 | 1 | 0 | 0 | +1 | 3 |
| 11 |
FC Saarbrücken
|
1 | 1 | 0 | 0 | +1 | 3 |
| 12 |
Sandhausen
|
1 | 0 | 1 | 0 | +0 | 1 |
| 13 |
Hannover
|
1 | 0 | 1 | 0 | +0 | 1 |
| 14 |
Werder Bremen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
Karlsruhe
|
1 | 0 | 0 | 1 | -1 | 0 |
| 16 |
Braunschweig
|
1 | 0 | 0 | 1 | -2 | 0 |
| 17 |
FC Gutersloh
|
1 | 0 | 0 | 1 | -2 | 0 |
| 18 |
Balingen
|
1 | 0 | 0 | 1 | -4 | 0 |
| 19 |
Schott Mainz
|
1 | 0 | 0 | 1 | -5 | 0 |
| 20 |
Carl Zeiss Jena
|
1 | 0 | 0 | 1 | -5 | 0 |
| 21 |
Atlas Delmenhorst
|
1 | 0 | 0 | 1 | -5 | 0 |
| 22 |
Bersenbrück
|
1 | 0 | 0 | 1 | -7 | 0 |
| 23 |
Oberneuland
|
1 | 0 | 0 | 1 | -8 | 0 |
| 24 |
Teutonia Ottensen
|
1 | 0 | 0 | 1 | -8 | 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. Kersken
G
C. Lannert
D
S. Schreck
M
K. Mizuta
M
Coach: M. Kniat
F. Passlack
D
Bernardo
D
L. Daschner
M
K. Stöger
M
P. Hofmann
F
Coach: T. Letsch
Green columns are the outcomes that came in.
Bielefeld
Wehen
Wehen
Bielefeld
Magdeburg
Bielefeld
Bielefeld
Paderborn
Kaiserslautern
Bielefeld
S Jablonski · 136 kamper i vår database
🟥 Red cards: 0,13 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.