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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Magdeburg
Braunschweig
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
|
18 | 8 | 7 | 3 | +17 | 31 |
| 2 |
Magdeburg
|
18 | 8 | 7 | 3 | +9 | 31 |
| 3 |
FC Koln
|
18 | 9 | 4 | 5 | +8 | 31 |
| 4 |
Hannover
|
18 | 9 | 3 | 6 | +6 | 30 |
| 5 |
Kaiserslautern
|
18 | 8 | 5 | 5 | +4 | 29 |
| 6 |
Karlsruhe
|
18 | 8 | 5 | 5 | +2 | 29 |
| 7 |
Elversberg
|
18 | 8 | 4 | 6 | +6 | 28 |
| 8 |
Paderborn
|
18 | 7 | 7 | 4 | +4 | 28 |
| 9 |
Fortuna Dusseldorf
|
18 | 7 | 6 | 5 | +5 | 27 |
| 10 |
Darmstadt
|
18 | 6 | 7 | 5 | +7 | 25 |
| 11 |
Nurnberg
|
18 | 7 | 4 | 7 | +2 | 25 |
| 12 |
Hertha
|
18 | 7 | 4 | 7 | +1 | 25 |
| 13 |
Schalke 04
|
18 | 5 | 6 | 7 | -1 | 21 |
| 14 |
Greuther Furth
|
18 | 5 | 5 | 8 | -10 | 20 |
| 15 |
Preußen Münster
|
18 | 4 | 7 | 7 | -4 | 19 |
| 16 |
Ulm
|
18 | 2 | 8 | 8 | -5 | 14 |
| 17 |
Braunschweig
|
18 | 3 | 5 | 10 | -20 | 14 |
| 18 |
Regensburg
|
18 | 3 | 2 | 13 | -31 | 11 |
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.
D. Reimann
G
J. Hugonet
D
M. Mathisen
D
D. Heber
D
A. Nollenberger
M
M. El Hankouri
M
L. Burcu
F
M. Kaars
F
B. Atik
F
Coach: C. Titz
R. Hoffmann
G
P. Jaeckel
D
K. Ehlers
D
L. Tempelmann
M
J. Gómez
M
F. Di Michele Sanchez
M
L. Szabó
F
R. Philippe
F
Coach: D. Scherning
Green columns are the outcomes that came in.
Elversberg
Magdeburg
Fortuna Dusseldorf
Magdeburg
Magdeburg
Paderborn
Preußen Münster
Magdeburg
Magdeburg
Hertha
R Braun · 47 kamper i vår database
🟥 Red cards: 0,13 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.