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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Nurnberg
Schalke 04
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: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Schalke 04
|
32 | 20 | 7 | 5 | +21 | +16.6 | 67 |
| 2 |
Elversberg
|
32 | 17 | 8 | 7 | +24 | +8.7 | 59 |
| 3 |
Hannover
|
33 | 16 | 11 | 6 | +16 | +12.5 | 59 |
| 4 |
Paderborn
|
33 | 17 | 8 | 8 | +12 | +13.6 | 59 |
| 5 |
Darmstadt
|
32 | 13 | 12 | 7 | +14 | +1.0 | 51 |
| 6 |
Kaiserslautern
|
33 | 15 | 4 | 14 | +4 | -2.3 | 49 |
| 7 |
Hertha
|
32 | 13 | 9 | 10 | +7 | -1.9 | 48 |
| 8 |
Karlsruhe
|
33 | 12 | 8 | 13 | -10 | -19.7 | 44 |
| 9 |
Nurnberg
|
32 | 11 | 9 | 12 | -1 | +1.5 | 42 |
| 10 |
Bochum
|
33 | 10 | 11 | 12 | +1 | +4.1 | 41 |
| 11 |
Holstein Kiel
|
33 | 11 | 8 | 14 | -3 | -11.6 | 41 |
| 12 |
Magdeburg
|
33 | 12 | 3 | 18 | -5 | +6.8 | 39 |
| 13 |
Dresden
|
33 | 10 | 8 | 15 | +0 | +3.6 | 38 |
| 14 |
Braunschweig
|
33 | 10 | 7 | 16 | -17 | -4.3 | 37 |
| 15 |
Bielefeld
|
33 | 9 | 9 | 15 | -3 | +2.2 | 36 |
| 16 |
Fortuna Dusseldorf
|
32 | 10 | 4 | 18 | -19 | -6.4 | 34 |
| 17 |
Greuther Furth
|
32 | 9 | 7 | 16 | -21 | -10.7 | 34 |
| 18 |
Preußen Münster
|
32 | 6 | 11 | 15 | -20 | -13.7 | 29 |
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.
H. Koudossou
D
F. Gruber
D
L. Lochoshvili
D
Danilo Soares
D
F. O. Becker
M
A. Markhiev
M
J. Fernandez
M
J. Justvan
F
M. A. Zoma
F
R. Lubach
F
Coach: Miroslav Klose
K. Muller
G
T. Becker
D
M. Ayhan
D
V. Becker
D
S. El-Faouzi
M
R. Schallenberg
M
D. Ljubicic
M
K. Karaman
M
A. Aouchiche
M
M. Sylla
F
Coach: Miron Muslic
Green columns are the outcomes that came in.
Greuther Furth
Nurnberg
Nurnberg
Magdeburg
Bielefeld
Nurnberg
Nurnberg
Dresden
Braunschweig
Nurnberg
F Prigan · 25 kamper i vår database
🟥 Red cards: 0,08 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.