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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Hertha
Elversberg
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 |
Wolfsburg
|
1 | 1 | 0 | 0 | +9 | 3 |
| 2 |
Kaiserslautern
|
1 | 1 | 0 | 0 | +7 | 3 |
| 3 |
Ein Frankfurt
|
1 | 1 | 0 | 0 | +5 | 3 |
| 4 |
Union Berlin
|
1 | 1 | 0 | 0 | +5 | 3 |
| 5 |
Heidenheim
|
1 | 1 | 0 | 0 | +5 | 3 |
| 6 |
Karlsruhe
|
1 | 1 | 0 | 0 | +5 | 3 |
| 7 |
Hoffenheim
|
1 | 1 | 0 | 0 | +4 | 3 |
| 8 |
Leverkusen
|
1 | 1 | 0 | 0 | +4 | 3 |
| 9 |
RB Leipzig
|
1 | 1 | 0 | 0 | +2 | 3 |
| 10 |
Fortuna Dusseldorf
|
1 | 1 | 0 | 0 | +2 | 3 |
| 11 |
Magdeburg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 12 |
Paderborn
|
1 | 1 | 0 | 0 | +2 | 3 |
| 13 |
Bochum
|
1 | 1 | 0 | 0 | +2 | 3 |
| 14 |
Greuther Furth
|
1 | 1 | 0 | 0 | +2 | 3 |
| 15 |
Augsburg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 16 |
Holstein Kiel
|
1 | 1 | 0 | 0 | +2 | 3 |
| 17 |
Freiburg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 18 |
Bayern Munich
|
1 | 1 | 0 | 0 | +1 | 3 |
| 19 |
M'gladbach
|
1 | 1 | 0 | 0 | +1 | 3 |
| 20 |
FC Koln
|
1 | 1 | 0 | 0 | +1 | 3 |
| 21 |
Darmstadt
|
1 | 1 | 0 | 0 | +1 | 3 |
| 22 |
Hamburg
|
1 | 1 | 0 | 0 | +1 | 3 |
| 23 |
Bielefeld
|
1 | 1 | 0 | 0 | +1 | 3 |
| 24 |
Mainz
|
1 | 1 | 0 | 0 | +1 | 3 |
| 25 |
Elversberg
|
1 | 1 | 0 | 0 | +1 | 3 |
| 26 |
Cottbus
|
1 | 1 | 0 | 0 | +1 | 3 |
| 27 |
Dortmund
|
1 | 1 | 0 | 0 | +1 | 3 |
| 28 |
Schalke 04
|
1 | 1 | 0 | 0 | +1 | 3 |
| 29 |
Braunschweig
|
1 | 0 | 1 | 0 | +0 | 1 |
| 30 |
Stuttgart
|
1 | 0 | 1 | 0 | +0 | 1 |
| 31 |
Illertissen
|
1 | 0 | 1 | 0 | +0 | 1 |
| 32 |
Nurnberg
|
1 | 0 | 1 | 0 | +0 | 1 |
| 33 |
Preußen Münster
|
1 | 0 | 1 | 0 | +0 | 1 |
| 34 |
Hertha
|
1 | 0 | 1 | 0 | +0 | 1 |
| 35 |
Eintracht Norderstedt
|
1 | 0 | 1 | 0 | +0 | 1 |
| 36 |
St Pauli
|
1 | 0 | 1 | 0 | +0 | 1 |
| 37 |
Wehen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 38 |
Atlas Delmenhorst
|
1 | 0 | 0 | 1 | -1 | 0 |
| 39 |
Regensburg
|
1 | 0 | 0 | 1 | -1 | 0 |
| 40 |
VfB Lubeck
|
1 | 0 | 0 | 1 | -1 | 0 |
| 41 |
Pirmasens
|
1 | 0 | 0 | 1 | -1 | 0 |
| 42 |
Werder Bremen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 43 |
Dresden
|
1 | 0 | 0 | 1 | -1 | 0 |
| 44 |
Ulm
|
1 | 0 | 0 | 1 | -1 | 0 |
| 45 |
Hannover
|
1 | 0 | 0 | 1 | -1 | 0 |
| 46 |
Rot-Weiß Essen
|
1 | 0 | 0 | 1 | -1 | 0 |
| 47 |
Lokomotive Leipzig
|
1 | 0 | 0 | 1 | -1 | 0 |
| 48 |
Sandhausen
|
1 | 0 | 0 | 1 | -2 | 0 |
| 49 |
FC Schweinfurt 05
|
1 | 0 | 0 | 1 | -2 | 0 |
| 50 |
FC Saarbrücken
|
1 | 0 | 0 | 1 | -2 | 0 |
| 51 |
FC Viktoria Koln
|
1 | 0 | 0 | 1 | -2 | 0 |
| 52 |
BFC Dynamo
|
1 | 0 | 0 | 1 | -2 | 0 |
| 53 |
BW Lohne
|
1 | 0 | 0 | 1 | -2 | 0 |
| 54 |
Hallescher FC
|
1 | 0 | 0 | 1 | -2 | 0 |
| 55 |
FC 08 Homburg
|
1 | 0 | 0 | 1 | -2 | 0 |
| 56 |
Sportfreunde Lotte
|
1 | 0 | 0 | 1 | -2 | 0 |
| 57 |
Hansa Rostock
|
1 | 0 | 0 | 1 | -4 | 0 |
| 58 |
SG Sonnenhof Grossaspach
|
1 | 0 | 0 | 1 | -4 | 0 |
| 59 |
FV Engers 07
|
1 | 0 | 0 | 1 | -5 | 0 |
| 60 |
FC Gutersloh
|
1 | 0 | 0 | 1 | -5 | 0 |
| 61 |
Bahlinger SC
|
1 | 0 | 0 | 1 | -5 | 0 |
| 62 |
ZFC Meuselwitz
|
1 | 0 | 0 | 1 | -5 | 0 |
| 63 |
RSV Eintracht
|
1 | 0 | 0 | 1 | -7 | 0 |
| 64 |
Hemelingen
|
1 | 0 | 0 | 1 | -9 | 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
J. Eitschberger
D
L. Gechter
D
M. Dardai
D
M. Karbownik
D
M. Krattenmacher
M
M. Cuisance
M
F. Reese
M
S. Gronning
F
Coach: Stefan Leitl
N. Kristof
G
J. Gyamerah
D
L. Pinckert
D
M. Rohr
D
N. Mickelson
D
L. Poreba
M
A. Conde
M
O. Stange
M
B. Conte
M
Y. Ebnoutalib
F
Coach: Vincent Wagner
Green columns are the outcomes that came in.
Hertha
Fortuna Dusseldorf
Bochum
Hertha
Hertha
Preußen Münster
Nurnberg
Hertha
Hertha
Paderborn
T Bauer · 39 kamper i vår database
🟥 Red cards: 0,21 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.