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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Sturm Graz
BW Linz
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 |
Sturm Graz
|
25 | 16 | 5 | 4 | +26 | 53 |
| 2 |
Austria Vienna
|
25 | 15 | 5 | 5 | +17 | 50 |
| 3 |
Salzburg
|
25 | 12 | 8 | 5 | +13 | 44 |
| 4 |
LASK
|
26 | 13 | 4 | 9 | +5 | 43 |
| 5 |
Wolfsberger AC
|
25 | 12 | 5 | 8 | +15 | 41 |
| 6 |
SK Rapid
|
25 | 10 | 7 | 8 | +6 | 37 |
| 7 |
BW Linz
|
25 | 10 | 3 | 12 | -3 | 33 |
| 8 |
Hartberg
|
26 | 7 | 9 | 10 | -7 | 30 |
| 9 |
A. Klagenfurt
|
26 | 6 | 7 | 13 | -24 | 25 |
| 10 |
Tirol
|
26 | 5 | 8 | 13 | -13 | 23 |
| 11 |
Grazer AK
|
26 | 4 | 9 | 13 | -18 | 21 |
| 12 |
Altach
|
26 | 4 | 8 | 14 | -17 | 20 |
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.
K. Scherpen
G
M. Johnston
D
A. Malić
D
T. Horvat
M
J. Gorenc Stankovič
M
M. Yalcouyé
M
O. Kiteishvili
M
W. Bøving
F
L. Grgić
F
Coach: J. Säumel
R. Vítek
G
M. Moormann
D
S. Diabaté
M
A. Briedl
M
S. Seidl
F
Coach: G. Scheiblehner
Green columns are the outcomes that came in.
Salzburg
Sturm Graz
Sturm Graz
SK Rapid
Wolfsberger AC
Sturm Graz
Sturm Graz
LASK
Grazer AK
Sturm Graz
J Spurny · 59 kamper i vår database
🟥 Red cards: 0,22 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.