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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Fortuna Dusseldorf
Hannover
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: 1–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Darmstadt
|
33 | 20 | 7 | 6 | +21 | 67 |
| 2 |
Heidenheim
|
33 | 18 | 10 | 5 | +30 | 64 |
| 3 |
Hamburg
|
33 | 19 | 6 | 8 | +24 | 63 |
| 4 |
St Pauli
|
33 | 16 | 9 | 8 | +16 | 57 |
| 5 |
Paderborn
|
33 | 16 | 7 | 10 | +25 | 55 |
| 6 |
Fortuna Dusseldorf
|
32 | 16 | 6 | 10 | +14 | 54 |
| 7 |
Kaiserslautern
|
32 | 11 | 12 | 9 | +4 | 45 |
| 8 |
Hannover
|
32 | 12 | 7 | 13 | -1 | 43 |
| 9 |
Holstein Kiel
|
33 | 11 | 10 | 12 | -7 | 43 |
| 10 |
Karlsruhe
|
32 | 12 | 6 | 14 | +1 | 42 |
| 11 |
Magdeburg
|
33 | 11 | 7 | 15 | -11 | 40 |
| 12 |
Greuther Furth
|
33 | 9 | 11 | 13 | -7 | 38 |
| 13 |
Hansa Rostock
|
32 | 11 | 4 | 17 | -17 | 37 |
| 14 |
Braunschweig
|
33 | 9 | 9 | 15 | -16 | 36 |
| 15 |
Nurnberg
|
32 | 9 | 8 | 15 | -18 | 35 |
| 16 |
Bielefeld
|
33 | 9 | 7 | 17 | -8 | 34 |
| 17 |
Regensburg
|
33 | 8 | 7 | 18 | -23 | 31 |
| 18 |
Sandhausen
|
33 | 7 | 7 | 19 | -27 | 28 |
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.
F. Kastenmeier
G
C. Klarer
D
F. Klaus
M
S. Appelkamp
M
E. Iyoha
M
Coach: D. Thioune
R. Zieler
G
J. Dehm
D
Y. Lührs
D
B. Arrey-Mbi
D
F. Kunze
M
D. Köhn
M
L. Schaub
F
H. Nielsen
F
Coach: S. Leitl
Green columns are the outcomes that came in.
St Pauli
Fortuna Dusseldorf
Fortuna Dusseldorf
Holstein Kiel
Fortuna Dusseldorf
Karlsruhe
Nurnberg
Fortuna Dusseldorf
Fortuna Dusseldorf
Darmstadt
M Bacher · 49 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.