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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Salzburg
Tirol
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Sturm Graz
|
17 | 11 | 4 | 2 | +24 | 37 |
| 2 |
Austria Vienna
|
17 | 10 | 4 | 3 | +12 | 34 |
| 3 |
Wolfsberger AC
|
17 | 9 | 2 | 6 | +10 | 29 |
| 4 |
SK Rapid
|
17 | 7 | 7 | 3 | +3 | 28 |
| 5 |
Salzburg
|
17 | 7 | 6 | 4 | +7 | 27 |
| 6 |
BW Linz
|
17 | 7 | 3 | 7 | -1 | 24 |
| 7 |
LASK
|
17 | 6 | 3 | 8 | -2 | 21 |
| 8 |
Hartberg
|
17 | 5 | 6 | 6 | -2 | 21 |
| 9 |
Tirol
|
17 | 4 | 5 | 8 | -7 | 17 |
| 10 |
A. Klagenfurt
|
17 | 4 | 4 | 9 | -21 | 16 |
| 11 |
Grazer AK
|
17 | 3 | 6 | 8 | -11 | 15 |
| 12 |
Altach
|
17 | 2 | 4 | 11 | -12 | 10 |
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.
A. Schlager
G
L. Morgalla
D
H. Blank
D
N. Capaldo
M
M. Bidstrup
M
B. Clark
M
O. Gloukh
M
A. Daghim
F
Y. Vertessen
F
Coach: T. Letsch
J. Lawrence
D
D. Gugganig
D
J. Naschberger
M
V. Müller
M
Coach: P. Semlic
Green columns are the outcomes that came in.
A. Klagenfurt
Salzburg
Salzburg
Ath Madrid
Real Madrid
Salzburg
Salzburg
A. Klagenfurt
Salzburg
Paris SG
J Semler · 29 kamper i vår database
🟥 Red cards: 0,11 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.