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Bundesliga
Referee: A Harkam
St. Polten
U S U T T
1–0
Full-time
Mattersburg
T U S U 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

St. Polten Mattersburg
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,8
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
17%
67%
Average goals
2,7
2,7
Scored
1,0
1,0
Conceded
1,7
1,7
Goal diff per game
-0,7
-0,7
This season — Bundesliga · 26/26 matches
Win Ø 19%
15%
23%
Points per game
0,8
0,9
Over 2.5 Ø 67%
69%
65%
Both score Ø 54%
42%
65%
Average goals
3,3
3,4
Scored
1,0
1,2
Conceded
2,3
2,2
Goal diff per game
-1,3
-1,0
🔒 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: 1–0

34% Possession 66%
7 Shots 11
4 Shots on target 1
1 Blocked shots 6
1 Goalkeeper saves 3
3 Corners 6
3 Offside 3
19 Free kicks against 18
6 Yellow cards 2
1 Red cards 0
The table before the match St. Polten 12. · Mattersburg 10.
# Team K V U T +/− P
1 Salzburg 26 18 6 2 +62 60
2 LASK 26 17 4 5 +26 55
3 SK Rapid 26 14 7 5 +25 49
4 Wolfsberger AC 26 12 6 8 +21 42
5 Sturm Graz 26 10 5 11 +1 35
6 Hartberg 26 10 5 11 -18 35
7 Austria Vienna 26 7 11 8 -1 32
8 Altach 26 9 5 12 -6 32
9 Tirol 26 6 6 14 -26 24
10 Mattersburg 26 6 5 15 -27 23
11 Admira 26 5 7 14 -24 22
12 St. Polten 26 4 9 13 -33 21

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.