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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Paderborn
Hansa Rostock
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
|
27 | 17 | 7 | 3 | +21 | 58 |
| 2 |
Heidenheim
|
28 | 15 | 9 | 4 | +25 | 54 |
| 3 |
Hamburg
|
27 | 16 | 5 | 6 | +21 | 53 |
| 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 |
Greuther Furth
|
28 | 9 | 9 | 10 | -2 | 36 |
| 11 |
Hannover
|
28 | 9 | 7 | 12 | -6 | 34 |
| 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
|
28 | 7 | 6 | 15 | -17 | 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.
J. Huth
G
J. Heuer
D
M. Rohr
D
B. Humphreys
D
J. Justvan
M
R. Schallenberg
M
K. Klefisch
M
R. Obermair
M
D. Srbeny
F
Coach: L. Kwasniok
M. Kolke
G
R. Malone
D
R. van Drongelen
D
L. Hinterseer
F
Coach: A. Schwartz
Green columns are the outcomes that came in.
Darmstadt
Paderborn
Paderborn
Greuther Furth
Regensburg
Paderborn
Magdeburg
Paderborn
Paderborn
St Pauli
M Petersen · 103 kamper i vår database
🟥 Red cards: 0,22 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.