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.
Unlock with ProAlready have an account? Log in
Ulm
Greuther Furth
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paderborn
|
14 | 7 | 6 | 1 | +8 | 27 |
| 2 |
Kaiserslautern
|
14 | 6 | 5 | 3 | +6 | 23 |
| 3 |
Hannover
|
14 | 7 | 2 | 5 | +5 | 23 |
| 4 |
Karlsruhe
|
13 | 6 | 5 | 2 | +4 | 23 |
| 5 |
Elversberg
|
14 | 6 | 4 | 4 | +8 | 22 |
| 6 |
FC Koln
|
14 | 6 | 4 | 4 | +5 | 22 |
| 7 |
Fortuna Dusseldorf
|
13 | 6 | 3 | 4 | +3 | 21 |
| 8 |
Hertha
|
14 | 6 | 3 | 5 | +2 | 21 |
| 9 |
Magdeburg
|
14 | 5 | 6 | 3 | +2 | 21 |
| 10 |
Hamburg
|
13 | 5 | 5 | 3 | +9 | 20 |
| 11 |
Darmstadt
|
14 | 5 | 5 | 4 | +4 | 20 |
| 12 |
Nurnberg
|
13 | 5 | 3 | 5 | +3 | 18 |
| 13 |
Schalke 04
|
14 | 3 | 4 | 7 | -6 | 13 |
| 14 |
Greuther Furth
|
13 | 3 | 4 | 6 | -6 | 13 |
| 15 |
Braunschweig
|
14 | 3 | 4 | 7 | -11 | 13 |
| 16 |
Preußen Münster
|
14 | 2 | 6 | 6 | -5 | 12 |
| 17 |
Ulm
|
13 | 2 | 5 | 6 | -3 | 11 |
| 18 |
Regensburg
|
14 | 2 | 2 | 10 | -28 | 8 |
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.
N. Thiede
G
B. Allgeier
D
P. Strompf
D
N. Kolbe
D
J. Meier
M
L. Hyryläinen
M
A. Keller
M
M. Krattenmacher
F
Coach: T. Wörle
N. Noll
G
D. Michalski
D
M. Dietz
D
G. Itter
D
S. Bansé
M
B. Hrgota
F
R. Massimo
F
Coach: J. Siewert
Green columns are the outcomes that came in.
Hertha
Ulm
Magdeburg
Ulm
Ulm
Schalke 04
Darmstadt
Ulm
Ulm
Karlsruhe
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.