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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RB Leipzig
Ein Frankfurt
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Stuttgart
|
3 | 3 | 0 | 0 | +9 | 9 |
| 2 |
Bielefeld
|
3 | 3 | 0 | 0 | +6 | 9 |
| 3 |
FC Koln
|
3 | 3 | 0 | 0 | +5 | 9 |
| 4 |
Leverkusen
|
3 | 3 | 0 | 0 | +5 | 9 |
| 5 |
Wolfsburg
|
3 | 3 | 0 | 0 | +5 | 9 |
| 6 |
Werder Bremen
|
3 | 3 | 0 | 0 | +4 | 9 |
| 7 |
Bayern Munich
|
3 | 2 | 0 | 1 | +7 | 6 |
| 8 |
Karlsruhe
|
2 | 2 | 0 | 0 | +7 | 6 |
| 9 |
Augsburg
|
2 | 2 | 0 | 0 | +6 | 6 |
| 10 |
RB Leipzig
|
2 | 2 | 0 | 0 | +5 | 6 |
| 11 |
Hertha
|
3 | 2 | 0 | 1 | +4 | 6 |
| 12 |
Ein Frankfurt
|
2 | 2 | 0 | 0 | +4 | 6 |
| 13 |
Freiburg
|
3 | 2 | 0 | 1 | +3 | 6 |
| 14 |
Darmstadt
|
3 | 2 | 0 | 1 | +2 | 6 |
| 15 |
Regensburg
|
3 | 2 | 0 | 1 | -1 | 6 |
| 16 |
Hoffenheim
|
3 | 1 | 1 | 1 | -2 | 4 |
| 17 |
Hamburg
|
2 | 1 | 0 | 1 | +5 | 3 |
| 18 |
Elversberg
|
2 | 1 | 0 | 1 | +4 | 3 |
| 19 |
Heidenheim
|
2 | 1 | 0 | 1 | +3 | 3 |
| 20 |
Paderborn
|
2 | 1 | 0 | 1 | +3 | 3 |
| 21 |
Dortmund
|
2 | 1 | 0 | 1 | +2 | 3 |
| 22 |
M'gladbach
|
2 | 1 | 0 | 1 | +1 | 3 |
| 23 |
Dresden
|
2 | 1 | 0 | 1 | +1 | 3 |
| 24 |
Greuther Furth
|
2 | 1 | 0 | 1 | +1 | 3 |
| 25 |
Kaiserslautern
|
2 | 1 | 0 | 1 | +0 | 3 |
| 26 |
St Pauli
|
2 | 1 | 0 | 1 | -1 | 3 |
| 27 |
Schalke 04
|
2 | 1 | 0 | 1 | -1 | 3 |
| 28 |
Kickers Offenbach
|
2 | 1 | 0 | 1 | -1 | 3 |
| 29 |
Union Berlin
|
2 | 1 | 0 | 1 | -1 | 3 |
| 30 |
Mainz
|
2 | 1 | 0 | 1 | -2 | 3 |
| 31 |
Holstein Kiel
|
2 | 1 | 0 | 1 | -2 | 3 |
| 32 |
Wurzburger Kickers
|
1 | 0 | 1 | 0 | +0 | 1 |
| 33 |
FC Saarbrücken
|
1 | 0 | 1 | 0 | +0 | 1 |
| 34 |
Nurnberg
|
2 | 0 | 1 | 1 | -1 | 1 |
| 35 |
Sandhausen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 36 |
Hallescher FC
|
1 | 0 | 0 | 1 | -1 | 0 |
| 37 |
Alemannia Aachen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 38 |
FC Ingolstadt 04
|
1 | 0 | 0 | 1 | -1 | 0 |
| 39 |
Magdeburg
|
1 | 0 | 0 | 1 | -1 | 0 |
| 40 |
Bochum
|
1 | 0 | 0 | 1 | -1 | 0 |
| 41 |
Carl Zeiss Jena
|
1 | 0 | 0 | 1 | -1 | 0 |
| 42 |
Greifswalder FC
|
1 | 0 | 0 | 1 | -1 | 0 |
| 43 |
TuS Koblenz
|
1 | 0 | 0 | 1 | -1 | 0 |
| 44 |
Erzgebirge Aue
|
1 | 0 | 0 | 1 | -2 | 0 |
| 45 |
Wehen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 46 |
Cottbus
|
1 | 0 | 0 | 1 | -2 | 0 |
| 47 |
Teutonia Ottensen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 48 |
Hannover
|
1 | 0 | 0 | 1 | -2 | 0 |
| 49 |
Fortuna Dusseldorf
|
1 | 0 | 0 | 1 | -2 | 0 |
| 50 |
Schott Mainz
|
1 | 0 | 0 | 1 | -2 | 0 |
| 51 |
VfR Aalen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 52 |
Braunschweig
|
1 | 0 | 0 | 1 | -3 | 0 |
| 53 |
Rot-Weiß Essen
|
1 | 0 | 0 | 1 | -3 | 0 |
| 54 |
Viktoria Berlin
|
1 | 0 | 0 | 1 | -3 | 0 |
| 55 |
Phönix Lübeck
|
1 | 0 | 0 | 1 | -3 | 0 |
| 56 |
Hansa Rostock
|
1 | 0 | 0 | 1 | -4 | 0 |
| 57 |
Osnabruck
|
1 | 0 | 0 | 1 | -4 | 0 |
| 58 |
Ulm
|
1 | 0 | 0 | 1 | -4 | 0 |
| 59 |
Bremer Sv
|
1 | 0 | 0 | 1 | -4 | 0 |
| 60 |
FC 08 Villingen
|
1 | 0 | 0 | 1 | -4 | 0 |
| 61 |
Preußen Münster
|
1 | 0 | 0 | 1 | -5 | 0 |
| 62 |
Sportfreunde Lotte
|
1 | 0 | 0 | 1 | -5 | 0 |
| 63 |
SV Meppen
|
1 | 0 | 0 | 1 | -6 | 0 |
| 64 |
Borussia Hildesheim
|
1 | 0 | 0 | 1 | -7 | 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.
M. Vandevoordt
G
N. Seiwald
D
W. Orbán
D
L. Geertruida
D
B. Henrichs
M
A. Vermeeren
M
A. Haidara
M
A. Nusa
M
B. Šeško
F
L. Openda
F
Coach: M. Rose
K. Trapp
G
N. Collins
D
R. Koch
D
R. Kristensen
D
M. Götze
M
E. Skhiri
M
H. Larsson
M
N. Brown
M
Omar Marmoush
F
Coach: D. Toppmöller
Green columns are the outcomes that came in.
RB Leipzig
Wolfsburg
Inter
RB Leipzig
Hoffenheim
RB Leipzig
RB Leipzig
M'gladbach
Celtic
RB Leipzig
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.