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
Paderborn
Darmstadt
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Greuther Furth
|
2 | 1 | 1 | 0 | +2 | 4 |
| 2 |
Fortuna Dusseldorf
|
2 | 1 | 1 | 0 | +2 | 4 |
| 3 |
Kaiserslautern
|
2 | 1 | 1 | 0 | +1 | 4 |
| 4 |
Karlsruhe
|
2 | 1 | 1 | 0 | +1 | 4 |
| 5 |
Hamburg
|
2 | 1 | 1 | 0 | +1 | 4 |
| 6 |
Schalke 04
|
2 | 1 | 0 | 1 | +2 | 3 |
| 7 |
Hannover
|
1 | 1 | 0 | 0 | +2 | 3 |
| 8 |
Nurnberg
|
2 | 1 | 0 | 1 | +1 | 3 |
| 9 |
Paderborn
|
1 | 1 | 0 | 0 | +1 | 3 |
| 10 |
Regensburg
|
2 | 1 | 0 | 1 | -1 | 3 |
| 11 |
Elversberg
|
2 | 0 | 2 | 0 | +0 | 2 |
| 12 |
Magdeburg
|
1 | 0 | 1 | 0 | +0 | 1 |
| 13 |
FC Koln
|
2 | 0 | 1 | 1 | -1 | 1 |
| 14 |
Hertha
|
2 | 0 | 1 | 1 | -1 | 1 |
| 15 |
Preußen Münster
|
1 | 0 | 0 | 1 | -2 | 0 |
| 16 |
Ulm
|
2 | 0 | 0 | 2 | -2 | 0 |
| 17 |
Darmstadt
|
1 | 0 | 0 | 1 | -2 | 0 |
| 18 |
Braunschweig
|
1 | 0 | 0 | 1 | -4 | 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.
P. Boevink
G
F. Götze
D
T. Scheller
D
V. Musliu
D
R. Obermair
M
S. Castañeda
M
A. Zehnter
M
K. Kostons
F
F. Bilbija
F
S. Michel
F
Coach: L. Kwasniok
M. Schuhen
G
C. Riedel
D
A. Vukotić
D
K. Klefisch
M
P. Will
M
F. Lakenmacher
F
Coach: T. Lieberknecht
Green columns are the outcomes that came in.
Hertha
Paderborn
Hansa Rostock
Paderborn
Paderborn
Hamburg
Hannover
Paderborn
Paderborn
Elversberg
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.