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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Schalke 04
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Hamburg
|
25 | 12 | 9 | 4 | +23 | 45 |
| 2 |
FC Koln
|
25 | 13 | 5 | 7 | +8 | 44 |
| 3 |
Kaiserslautern
|
25 | 12 | 7 | 6 | +8 | 43 |
| 4 |
Magdeburg
|
25 | 11 | 9 | 5 | +15 | 42 |
| 5 |
Paderborn
|
25 | 11 | 9 | 5 | +10 | 42 |
| 6 |
Elversberg
|
25 | 11 | 7 | 7 | +14 | 40 |
| 7 |
Hannover
|
25 | 10 | 9 | 6 | +7 | 39 |
| 8 |
Nurnberg
|
25 | 11 | 5 | 9 | +4 | 38 |
| 9 |
Fortuna Dusseldorf
|
25 | 10 | 8 | 7 | +4 | 38 |
| 10 |
Karlsruhe
|
25 | 10 | 6 | 9 | -2 | 36 |
| 11 |
Schalke 04
|
25 | 9 | 6 | 10 | -2 | 33 |
| 12 |
Greuther Furth
|
25 | 9 | 6 | 10 | -8 | 33 |
| 13 |
Darmstadt
|
25 | 8 | 7 | 10 | +3 | 31 |
| 14 |
Hertha
|
25 | 7 | 5 | 13 | -9 | 26 |
| 15 |
Preußen Münster
|
25 | 5 | 8 | 12 | -8 | 23 |
| 16 |
Braunschweig
|
25 | 5 | 8 | 12 | -21 | 23 |
| 17 |
Ulm
|
25 | 3 | 10 | 12 | -7 | 19 |
| 18 |
Regensburg
|
25 | 4 | 4 | 17 | -39 | 16 |
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.
L. Karius
G
R. Schallenberg
D
M. Kamiński
D
J. Bachmann
M
P. Seguin
M
M. Aydın
M
K. Karaman
M
P. Meïssa Ba
F
Coach: K. van Wonderen
R. Zieler
G
J. Dehm
D
J. Knight
D
P. Neumann
D
B. Ezeh
D
M. Momuluh
M
F. Kunze
M
E. Leopold
M
Lee Hyun-Ju
M
Coach: A. Breitenreiter
Green columns are the outcomes that came in.
Hertha
Schalke 04
Schalke 04
Preußen Münster
Darmstadt
Schalke 04
Schalke 04
Karlsruhe
FC Koln
Schalke 04
R Hempel · 39 kamper i vår database
🟥 Red cards: 0,28 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.