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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LASK
Salzburg
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Salzburg
|
2 | 2 | 0 | 0 | +5 | 6 |
| 2 |
Sturm Graz
|
3 | 2 | 0 | 1 | +3 | 6 |
| 3 |
SK Rapid
|
2 | 1 | 1 | 0 | +1 | 4 |
| 4 |
Tirol
|
2 | 1 | 1 | 0 | +1 | 4 |
| 5 |
BW Linz
|
3 | 1 | 1 | 1 | -3 | 4 |
| 6 |
Wolfsberger AC
|
2 | 1 | 0 | 1 | +1 | 3 |
| 7 |
Austria Vienna
|
2 | 1 | 0 | 1 | +1 | 3 |
| 8 |
LASK
|
2 | 1 | 0 | 1 | +0 | 3 |
| 9 |
Altach
|
2 | 1 | 0 | 1 | +0 | 3 |
| 10 |
Grazer AK
|
3 | 0 | 2 | 1 | -1 | 2 |
| 11 |
A. Klagenfurt
|
3 | 0 | 1 | 2 | -5 | 1 |
| 12 |
Hartberg
|
2 | 0 | 0 | 2 | -3 | 0 |
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. Lawal
G
M. Bogarde
D
H. Smolčić
D
G. Bello
D
S. Horvath
M
M. Usor
M
L. Pintor
M
M. Ljubičić
F
Coach: T. Darazs
J. Blaswich
G
I. Van der Brempt
D
K. Piątkowski
D
A. Terzić
D
N. Capaldo
M
M. Diambou
M
M. Kjærgaard
M
A. Daghim
F
P. Ratkov
F
D. Nene
F
Coach: P. Lijnders
Green columns are the outcomes that came in.
LASK
Altach
Hartberg
LASK
Salzburg
LASK
LASK
Sturm Graz
A. Klagenfurt
LASK
A Harkam · 87 kamper i vår database
🟥 Red cards: 0,26 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.