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
Heidenheim
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: 0–3
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Darmstadt
|
27 | 17 | 7 | 3 | +21 | 58 |
| 2 |
Hamburg
|
27 | 16 | 5 | 6 | +21 | 53 |
| 3 |
Heidenheim
|
27 | 14 | 9 | 4 | +22 | 51 |
| 4 |
St Pauli
|
27 | 13 | 8 | 6 | +13 | 47 |
| 5 |
Fortuna Dusseldorf
|
27 | 13 | 5 | 9 | +11 | 44 |
| 6 |
Paderborn
|
27 | 13 | 4 | 10 | +17 | 43 |
| 7 |
Kaiserslautern
|
27 | 10 | 10 | 7 | +4 | 40 |
| 8 |
Holstein Kiel
|
27 | 9 | 10 | 8 | +1 | 37 |
| 9 |
Karlsruhe
|
27 | 10 | 6 | 11 | +1 | 36 |
| 10 |
Hannover
|
27 | 9 | 7 | 11 | -3 | 34 |
| 11 |
Greuther Furth
|
27 | 8 | 9 | 10 | -3 | 33 |
| 12 |
Magdeburg
|
27 | 9 | 5 | 13 | -11 | 32 |
| 13 |
Nurnberg
|
27 | 8 | 6 | 13 | -16 | 30 |
| 14 |
Bielefeld
|
27 | 8 | 5 | 14 | -4 | 29 |
| 15 |
Braunschweig
|
27 | 7 | 8 | 12 | -12 | 29 |
| 16 |
Regensburg
|
27 | 7 | 6 | 14 | -16 | 27 |
| 17 |
Hansa Rostock
|
27 | 7 | 4 | 16 | -20 | 25 |
| 18 |
Sandhausen
|
27 | 5 | 6 | 16 | -26 | 21 |
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
P. Neumann
D
Y. Lührs
D
L. Schaub
M
F. Kunze
M
D. Köhn
M
H. Nielsen
F
M. Beier
F
Coach: S. Leitl
K. Müller
G
M. Busch
D
P. Mainka
D
T. Siersleben
D
J. Föhrenbach
D
L. Maloney
M
J. Schöppner
M
J. Beste
M
T. Kleindienst
F
Coach: F. Schmidt
Green columns are the outcomes that came in.
Hamburg
Hannover
Hannover
Sandhausen
Braunschweig
Hannover
Hannover
Hansa Rostock
Greuther Furth
Hannover
F Exner · 51 kamper i vår database
🟥 Red cards: 0,27 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.