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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Hannover
Magdeburg
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Darmstadt
|
22 | 14 | 7 | 1 | +20 | 49 |
| 2 |
Hamburg
|
22 | 14 | 3 | 5 | +15 | 45 |
| 3 |
Heidenheim
|
21 | 11 | 7 | 3 | +18 | 40 |
| 4 |
Paderborn
|
22 | 12 | 3 | 7 | +19 | 39 |
| 5 |
Kaiserslautern
|
22 | 10 | 8 | 4 | +9 | 38 |
| 6 |
Fortuna Dusseldorf
|
22 | 11 | 2 | 9 | +7 | 35 |
| 7 |
Holstein Kiel
|
22 | 8 | 8 | 6 | +2 | 32 |
| 8 |
St Pauli
|
21 | 7 | 8 | 6 | +3 | 29 |
| 9 |
Hannover
|
21 | 8 | 5 | 8 | +2 | 29 |
| 10 |
Karlsruhe
|
22 | 8 | 4 | 10 | +0 | 28 |
| 11 |
Greuther Furth
|
22 | 6 | 8 | 8 | -6 | 26 |
| 12 |
Nurnberg
|
22 | 7 | 4 | 11 | -14 | 25 |
| 13 |
Hansa Rostock
|
21 | 7 | 3 | 11 | -10 | 24 |
| 14 |
Braunschweig
|
22 | 5 | 6 | 11 | -12 | 21 |
| 15 |
Magdeburg
|
21 | 6 | 3 | 12 | -14 | 21 |
| 16 |
Bielefeld
|
21 | 6 | 2 | 13 | -6 | 20 |
| 17 |
Regensburg
|
22 | 5 | 5 | 12 | -16 | 20 |
| 18 |
Sandhausen
|
22 | 5 | 4 | 13 | -17 | 19 |
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.
R. Zieler
G
J. Dehm
D
P. Neumann
D
D. Köhn
D
H. Nielsen
M
F. Kunze
M
S. Kerk
M
M. Beier
F
Coach: S. Leitl
D. Reimann
G
D. Heber
D
D. Elfadli
D
H. Bockhorn
M
A. Condé
M
M. Kwarteng
M
M. El Hankouri
M
J. Ceka
F
B. Atik
F
Coach: C. Titz
Green columns are the outcomes that came in.
Regensburg
Hannover
Hannover
Paderborn
St Pauli
Hannover
Hannover
Kaiserslautern
Holstein Kiel
Hannover
M Thomsen · 12 kamper i vår database
🟥 Red cards: 0,30 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.