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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Holstein Kiel
Hamburg
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
St Pauli
|
13 | 7 | 6 | 0 | +15 | 27 |
| 2 |
Hamburg
|
12 | 7 | 3 | 2 | +11 | 24 |
| 3 |
Hannover
|
13 | 6 | 4 | 3 | +11 | 22 |
| 4 |
Fortuna Dusseldorf
|
12 | 6 | 3 | 3 | +10 | 21 |
| 5 |
Elversberg
|
13 | 6 | 3 | 4 | +0 | 21 |
| 6 |
Holstein Kiel
|
12 | 6 | 2 | 4 | +0 | 20 |
| 7 |
Greuther Furth
|
12 | 5 | 3 | 4 | +3 | 18 |
| 8 |
Kaiserslautern
|
12 | 5 | 3 | 4 | +1 | 18 |
| 9 |
Wehen
|
12 | 5 | 3 | 4 | +1 | 18 |
| 10 |
Paderborn
|
12 | 5 | 3 | 4 | +0 | 18 |
| 11 |
Nurnberg
|
12 | 5 | 3 | 4 | -2 | 18 |
| 12 |
Hertha
|
12 | 5 | 1 | 6 | +2 | 16 |
| 13 |
Magdeburg
|
12 | 3 | 4 | 5 | -1 | 13 |
| 14 |
Hansa Rostock
|
12 | 4 | 1 | 7 | -6 | 13 |
| 15 |
Schalke 04
|
13 | 4 | 1 | 8 | -8 | 13 |
| 16 |
Karlsruhe
|
12 | 3 | 3 | 6 | -4 | 12 |
| 17 |
Osnabruck
|
12 | 1 | 4 | 7 | -16 | 7 |
| 18 |
Braunschweig
|
12 | 1 | 2 | 9 | -17 | 5 |
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.
T. Weiner
G
M. Ivezić
D
C. Kleine-Bekel
D
T. Becker
M
P. Sander
M
S. Skrzybski
F
B. Pichler
F
J. Arp
F
Coach: M. Rapp
Daniel Heuer Fernandes
G
W. Mikelbrencis
D
J. Meffert
M
L. Bénes
M
B. Jatta
F
R. Glatzel
F
J. Dompé
F
Coach: T. Walter
Green columns are the outcomes that came in.
Osnabruck
Holstein Kiel
Holstein Kiel
Magdeburg
Holstein Kiel
Nurnberg
Hansa Rostock
Holstein Kiel
Holstein Kiel
Elversberg
D Aytekin · 111 kamper i vår database
🟥 Red cards: 0,19 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.