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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Freiburg
RB Leipzig
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: 0–4
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
RB Leipzig
|
4 | 4 | 0 | 0 | +16 | 12 |
| 2 |
Ein Frankfurt
|
4 | 4 | 0 | 0 | +10 | 12 |
| 3 |
Stuttgart
|
4 | 4 | 0 | 0 | +9 | 12 |
| 4 |
Freiburg
|
4 | 4 | 0 | 0 | +5 | 12 |
| 5 |
Bayern Munich
|
4 | 3 | 0 | 1 | +11 | 9 |
| 6 |
Dortmund
|
4 | 3 | 0 | 1 | +4 | 9 |
| 7 |
Union Berlin
|
4 | 3 | 0 | 1 | +2 | 9 |
| 8 |
Fortuna Dusseldorf
|
3 | 2 | 1 | 0 | +6 | 7 |
| 9 |
Nurnberg
|
4 | 2 | 1 | 1 | +2 | 7 |
| 10 |
Hoffenheim
|
3 | 2 | 0 | 1 | +4 | 6 |
| 11 |
Bochum
|
3 | 2 | 0 | 1 | +3 | 6 |
| 12 |
Darmstadt
|
3 | 2 | 0 | 1 | +2 | 6 |
| 13 |
Mainz
|
3 | 2 | 0 | 1 | +2 | 6 |
| 14 |
Wolfsburg
|
3 | 2 | 0 | 1 | +1 | 6 |
| 15 |
Paderborn
|
3 | 1 | 1 | 1 | +9 | 4 |
| 16 |
Karlsruhe
|
2 | 1 | 1 | 0 | +8 | 4 |
| 17 |
Sandhausen
|
3 | 1 | 1 | 1 | +2 | 4 |
| 18 |
Werder Bremen
|
2 | 1 | 1 | 0 | +1 | 4 |
| 19 |
M'gladbach
|
2 | 1 | 0 | 1 | +7 | 3 |
| 20 |
Augsburg
|
2 | 1 | 0 | 1 | +1 | 3 |
| 21 |
Schalke 04
|
2 | 1 | 0 | 1 | +1 | 3 |
| 22 |
Hannover
|
2 | 1 | 0 | 1 | +1 | 3 |
| 23 |
Bielefeld
|
2 | 1 | 0 | 1 | +0 | 3 |
| 24 |
St Pauli
|
2 | 1 | 0 | 1 | +0 | 3 |
| 25 |
Elversberg
|
2 | 1 | 0 | 1 | +0 | 3 |
| 26 |
Heidenheim
|
2 | 1 | 0 | 1 | +0 | 3 |
| 27 |
Stuttgarter Kickers
|
2 | 1 | 0 | 1 | +0 | 3 |
| 28 |
Hamburg
|
2 | 1 | 0 | 1 | -2 | 3 |
| 29 |
VfB Lubeck
|
2 | 1 | 0 | 1 | -2 | 3 |
| 30 |
Hertha
|
1 | 0 | 1 | 0 | +0 | 1 |
| 31 |
FC Koln
|
1 | 0 | 1 | 0 | +0 | 1 |
| 32 |
Holstein Kiel
|
1 | 0 | 1 | 0 | +0 | 1 |
| 33 |
Braunschweig
|
2 | 0 | 1 | 1 | -1 | 1 |
| 34 |
Waldhof Mannheim
|
2 | 0 | 1 | 1 | -1 | 1 |
| 35 |
Regensburg
|
2 | 0 | 1 | 1 | -3 | 1 |
| 36 |
Leverkusen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 37 |
Straelen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 38 |
Kaiserslautern
|
1 | 0 | 0 | 1 | -1 | 0 |
| 39 |
Cottbus
|
1 | 0 | 0 | 1 | -1 | 0 |
| 40 |
Chemnitzer FC
|
1 | 0 | 0 | 1 | -1 | 0 |
| 41 |
Dresden
|
1 | 0 | 0 | 1 | -1 | 0 |
| 42 |
Hansa Rostock
|
1 | 0 | 0 | 1 | -1 | 0 |
| 43 |
Carl Zeiss Jena
|
1 | 0 | 0 | 1 | -1 | 0 |
| 44 |
Bayreuth
|
1 | 0 | 0 | 1 | -2 | 0 |
| 45 |
Kaan-Marienborn
|
1 | 0 | 0 | 1 | -2 | 0 |
| 46 |
Illertissen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 47 |
Greuther Furth
|
1 | 0 | 0 | 1 | -2 | 0 |
| 48 |
SV Rodinghausen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 49 |
Kickers Offenbach
|
1 | 0 | 0 | 1 | -3 | 0 |
| 50 |
FC Ingolstadt 04
|
1 | 0 | 0 | 1 | -3 | 0 |
| 51 |
Erzgebirge Aue
|
1 | 0 | 0 | 1 | -3 | 0 |
| 52 |
TSV 1860 Munich
|
1 | 0 | 0 | 1 | -3 | 0 |
| 53 |
Viktoria Berlin
|
1 | 0 | 0 | 1 | -3 | 0 |
| 54 |
Schott Mainz
|
1 | 0 | 0 | 1 | -3 | 0 |
| 55 |
Magdeburg
|
1 | 0 | 0 | 1 | -4 | 0 |
| 56 |
Schwarz-Weiß Rehden
|
1 | 0 | 0 | 1 | -4 | 0 |
| 57 |
BW Lohne
|
1 | 0 | 0 | 1 | -4 | 0 |
| 58 |
Bremer Sv
|
1 | 0 | 0 | 1 | -5 | 0 |
| 59 |
FC Viktoria Koln
|
1 | 0 | 0 | 1 | -5 | 0 |
| 60 |
FV Engers 07
|
1 | 0 | 0 | 1 | -6 | 0 |
| 61 |
Oberachern
|
1 | 0 | 0 | 1 | -8 | 0 |
| 62 |
Neustrelitz
|
1 | 0 | 0 | 1 | -8 | 0 |
| 63 |
Teutonia Ottensen
|
1 | 0 | 0 | 1 | -8 | 0 |
| 64 |
Einheit Wernigerode
|
1 | 0 | 0 | 1 | -10 | 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. Flekken
G
K. Sildillia
D
L. Kübler
D
M. Ginter
D
P. Lienhart
D
C. Günter
D
R. Dōan
M
M. Eggestein
M
M. Gregoritsch
F
L. Höler
F
Coach: C. Streich
J. Blaswich
G
B. Henrichs
D
W. Orbán
D
J. Gvardiol
D
K. Laimer
M
A. Haidara
M
D. Szoboszlai
M
Dani Olmo
M
C. Nkunku
F
Coach: M. Rose
Green columns are the outcomes that came in.
FC Koln
Freiburg
Freiburg
Schalke 04
Werder Bremen
Freiburg
Freiburg
Bayern Munich
Bayern Munich
Freiburg
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.