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.
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Karlsruhe
Hamburg
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: 1–1
| # | 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.
M. Weiß
G
S. Jung
D
M. Franke
D
D. Herold
D
D. Burnić
M
N. Rapp
M
M. Wanitzek
M
B. Conté
M
B. Zivzivadze
F
Coach: C. Eichner
Daniel Heuer Fernandes
G
W. Mikelbrencis
D
M. Richter
M
Daniel Elfadli
M
B. Jatta
F
R. Königsdörffer
F
J. Dompé
F
Coach: M. Polzin
Green columns are the outcomes that came in.
Greuther Furth
Karlsruhe
Karlsruhe
Preußen Münster
Hannover
Karlsruhe
Kickers Offenbach
Karlsruhe
Karlsruhe
Hertha
S Stegemann · 140 kamper i vår database
🟥 Red cards: 0,20 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.