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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Darmstadt
Regensburg
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Hamburg
|
33 | 16 | 11 | 6 | +35 | 59 |
| 2 |
FC Koln
|
33 | 17 | 7 | 9 | +11 | 58 |
| 3 |
Elversberg
|
33 | 15 | 10 | 8 | +26 | 55 |
| 4 |
Paderborn
|
33 | 15 | 10 | 8 | +13 | 55 |
| 5 |
Fortuna Dusseldorf
|
33 | 14 | 11 | 8 | +7 | 53 |
| 6 |
Kaiserslautern
|
33 | 15 | 8 | 10 | +5 | 53 |
| 7 |
Magdeburg
|
33 | 13 | 11 | 9 | +10 | 50 |
| 8 |
Hannover
|
33 | 13 | 11 | 9 | +5 | 50 |
| 9 |
Karlsruhe
|
33 | 13 | 10 | 10 | -1 | 49 |
| 10 |
Nurnberg
|
33 | 13 | 6 | 14 | +0 | 45 |
| 11 |
Hertha
|
33 | 12 | 7 | 14 | -2 | 43 |
| 12 |
Darmstadt
|
33 | 10 | 9 | 14 | -1 | 39 |
| 13 |
Schalke 04
|
33 | 10 | 8 | 15 | -9 | 38 |
| 14 |
Greuther Furth
|
33 | 9 | 9 | 15 | -15 | 36 |
| 15 |
Preußen Münster
|
33 | 8 | 11 | 14 | -3 | 35 |
| 16 |
Braunschweig
|
33 | 8 | 11 | 14 | -23 | 35 |
| 17 |
Ulm
|
33 | 6 | 11 | 16 | -12 | 29 |
| 18 |
Regensburg
|
33 | 6 | 7 | 20 | -46 | 25 |
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. Schuhen
G
Sergio López
D
C. Riedel
D
A. Vukotić
D
K. Klefisch
M
F. Hornby
F
I. Lidberg
F
Coach: F. Kohfeldt
F. Gebhardt
G
T. Handwerker
M
N. Ganaus
F
Coach: M. Raychouni
Green columns are the outcomes that came in.
Kaiserslautern
Darmstadt
Darmstadt
Hamburg
Preußen Münster
Darmstadt
Darmstadt
Hannover
Hertha
Darmstadt
N Winter · 30 kamper i vår database
🟥 Red cards: 0,37 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.