2. Bundesliga
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Hannover
Karlsruhe
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Nurnberg
|
3 | 3 | 0 | 0 | +8 | -1.2 | 9 |
| 2 |
Hertha
|
3 | 3 | 0 | 0 | +6 | +1.4 | 9 |
| 3 |
Wolfsburg
|
3 | 2 | 1 | 0 | +4 | +2.2 | 7 |
| 4 |
Heidenheim
|
3 | 2 | 0 | 1 | +0 | +1.6 | 6 |
| 5 |
Magdeburg
|
3 | 2 | 0 | 1 | +0 | -2.7 | 6 |
| 6 |
Kaiserslautern
|
3 | 1 | 2 | 0 | +1 | -0.7 | 5 |
| 7 |
Greuther Furth
|
3 | 1 | 1 | 1 | -1 | +0.3 | 4 |
| 8 |
Karlsruhe
|
3 | 1 | 1 | 1 | -2 | -1.5 | 4 |
| 9 |
Braunschweig
|
3 | 1 | 0 | 2 | +2 | +1.5 | 3 |
| 10 |
Bielefeld
|
3 | 1 | 0 | 2 | -1 | +3.0 | 3 |
| 11 |
Bochum
|
3 | 1 | 0 | 2 | -1 | +1.0 | 3 |
| 12 |
Cottbus
|
3 | 1 | 0 | 2 | -2 | -3.7 | 3 |
| 13 |
Hannover
|
3 | 1 | 0 | 2 | -2 | +2.7 | 3 |
| 14 |
Osnabruck
|
3 | 1 | 0 | 2 | -3 | -2.3 | 3 |
| 15 |
Dresden
|
3 | 1 | 0 | 2 | -4 | -1.7 | 3 |
| 16 |
St Pauli
|
3 | 0 | 2 | 1 | -1 | +1.0 | 2 |
| 17 |
Holstein Kiel
|
3 | 0 | 2 | 1 | -2 | +1.5 | 2 |
| 18 |
Darmstadt
|
3 | 0 | 1 | 2 | -2 | -2.3 | 1 |
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.
B. Allgeier
D
M. Bundu
F
V. Ghiță
D
L. Gindorf
F
M. Hartel
F
M. Neubauer
M
K. Oudenne
M
W. Taïbi
M
S. Þórðarson
M
B. Tomiak
D
L. Weinkauf
G
Coach: C. Titz
Coach: M. Senft
Green columns are the outcomes that came in.
Darmstadt
Hannover
Hemelingen
Hannover
Hannover
Wolfsburg
Cottbus
Hannover
Hannover
Nurnberg
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.