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Bundesliga
Referee: S Gishamer
2–4
Full-time
St. Polten
S S U S T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Wolfsberger AC St. Polten
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
67%
33%
Average goals
3,5
3,3
Scored
1,8
2,7
Conceded
1,7
0,7
Goal diff per game
+0,2
+2,0
This season — Bundesliga · 3/3 matches
Win Ø 33%
33%
33%
Points per game
1,0
1,3
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
67%
33%
Average goals
3,3
2,7
Scored
1,3
2,0
Conceded
2,0
0,7
Goal diff per game
-0,7
+1,3
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–3

68% Possession 32%
18 Shots 11
4 Shots on target 5
8 Blocked shots 3
0 Goalkeeper saves 2
8 Corners 4
1 Offside 0
11 Free kicks against 17
2 Yellow cards 3
0 Red cards 0
The table before the match Wolfsberger AC 9. · St. Polten 4.
# Team K V U T +/− P
1 Salzburg 3 3 0 0 +7 9
2 SK Rapid 3 2 1 0 +4 7
3 LASK 3 2 1 0 +3 7
4 St. Polten 3 1 1 1 +4 4
5 Tirol 3 1 1 1 +1 4
6 Austria Vienna 3 1 1 1 +0 4
7 Sturm Graz 3 0 3 0 +0 3
8 Ried 3 1 0 2 -2 3
9 Wolfsberger AC 3 1 0 2 -2 3
10 Hartberg 3 0 2 1 -2 2
11 Altach 3 0 1 2 -5 1
12 Admira 3 0 1 2 -8 1

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.