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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Kaiserslautern
Ulm
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
FC Koln
|
17 | 9 | 4 | 4 | +9 | 31 |
| 2 |
Hannover
|
18 | 9 | 3 | 6 | +6 | 30 |
| 3 |
Karlsruhe
|
17 | 8 | 5 | 4 | +3 | 29 |
| 4 |
Hamburg
|
17 | 7 | 7 | 3 | +16 | 28 |
| 5 |
Elversberg
|
17 | 8 | 4 | 5 | +9 | 28 |
| 6 |
Magdeburg
|
17 | 7 | 7 | 3 | +6 | 28 |
| 7 |
Paderborn
|
17 | 7 | 7 | 3 | +5 | 28 |
| 8 |
Fortuna Dusseldorf
|
18 | 7 | 6 | 5 | +5 | 27 |
| 9 |
Kaiserslautern
|
17 | 7 | 5 | 5 | +3 | 26 |
| 10 |
Darmstadt
|
18 | 6 | 7 | 5 | +7 | 25 |
| 11 |
Nurnberg
|
17 | 6 | 4 | 7 | +1 | 22 |
| 12 |
Hertha
|
17 | 6 | 4 | 7 | +0 | 22 |
| 13 |
Schalke 04
|
17 | 5 | 5 | 7 | -1 | 20 |
| 14 |
Greuther Furth
|
17 | 5 | 5 | 7 | -9 | 20 |
| 15 |
Preußen Münster
|
17 | 3 | 7 | 7 | -5 | 16 |
| 16 |
Ulm
|
17 | 2 | 8 | 7 | -4 | 14 |
| 17 |
Braunschweig
|
17 | 3 | 4 | 10 | -20 | 13 |
| 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.
J. Krahl
G
J. Elvedi
D
L. Sirch
D
J. Heuer
D
J. Gyamerah
M
Leon Robinson
M
F. Kleinhansl
M
D. Yokota
F
M. Ritter
F
D. Hanslik
F
Coach: M. Anfang
C. Ortag
G
P. Strompf
D
N. Kolbe
D
L. Hyryläinen
M
M. Krattenmacher
F
A. Keller
F
Coach: T. Wörle
Green columns are the outcomes that came in.
Kaiserslautern
FC Koln
Darmstadt
Kaiserslautern
Kaiserslautern
Karlsruhe
Schalke 04
Kaiserslautern
Kaiserslautern
Braunschweig
M Bacher · 49 kamper i vår database
🟥 Red cards: 0,27 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.