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
Schalke 04
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 |
FC Koln
|
30 | 16 | 6 | 8 | +11 | 54 |
| 2 |
Hamburg
|
30 | 14 | 11 | 5 | +27 | 53 |
| 3 |
Magdeburg
|
31 | 13 | 11 | 7 | +16 | 50 |
| 4 |
Elversberg
|
31 | 13 | 10 | 8 | +21 | 49 |
| 5 |
Paderborn
|
31 | 13 | 10 | 8 | +10 | 49 |
| 6 |
Fortuna Dusseldorf
|
31 | 13 | 10 | 8 | +5 | 49 |
| 7 |
Kaiserslautern
|
30 | 13 | 7 | 10 | +3 | 46 |
| 8 |
Nurnberg
|
31 | 13 | 6 | 12 | +3 | 45 |
| 9 |
Karlsruhe
|
30 | 12 | 8 | 10 | -2 | 44 |
| 10 |
Hannover
|
30 | 11 | 10 | 9 | +3 | 43 |
| 11 |
Hertha
|
31 | 11 | 7 | 13 | -1 | 40 |
| 12 |
Darmstadt
|
31 | 10 | 9 | 12 | +4 | 39 |
| 13 |
Schalke 04
|
30 | 10 | 8 | 12 | -4 | 38 |
| 14 |
Greuther Furth
|
31 | 9 | 8 | 14 | -14 | 35 |
| 15 |
Braunschweig
|
31 | 8 | 10 | 13 | -20 | 34 |
| 16 |
Ulm
|
31 | 6 | 11 | 14 | -6 | 29 |
| 17 |
Preußen Münster
|
31 | 6 | 11 | 14 | -10 | 29 |
| 18 |
Regensburg
|
31 | 6 | 5 | 20 | -46 | 23 |
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
M. Ritter
M
D. Hanslik
F
D. Yokota
F
R. Ache
F
Coach: T. Lieberknecht
J. Heekeren
G
T. Bulut
D
R. Schallenberg
D
M. Kamiński
D
P. Seguin
M
M. Aydın
M
J. Bachmann
M
T. Mohr
M
M. Sylla
F
Coach: K. van Wonderen
Green columns are the outcomes that came in.
Braunschweig
Kaiserslautern
Kaiserslautern
Nurnberg
Magdeburg
Kaiserslautern
Kaiserslautern
Fortuna Dusseldorf
Paderborn
Kaiserslautern
D Schlager · 124 kamper i vår database
🟥 Red cards: 0,21 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.