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Bundesliga
Referee: A Kijas
Mattersburg
T T T T T
1–4
Full-time

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

🔒 Who wins? Pro

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

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Team trends

Mattersburg Wolfsberger AC
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,5
1,5
Over 2.5 Ø 83%
83%
83%
Both score Ø 59%
67%
50%
Average goals
4,3
3,5
Scored
1,3
2,2
Conceded
3,0
1,3
Goal diff per game
-1,7
+0,8
This season — Bundesliga · 14/14 matches
Win Ø 39%
21%
57%
Points per game
0,7
1,9
Over 2.5 Ø 75%
79%
71%
Both score Ø 50%
64%
36%
Average goals
4,1
3,6
Scored
1,3
2,4
Conceded
2,9
1,1
Goal diff per game
-1,6
+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: 0–2

40% Possession 60%
6 Shots 23
3 Shots on target 10
1 Blocked shots 5
6 Goalkeeper saves 2
4 Corners 6
1 Offside 2
12 Free kicks against 13
2 Yellow cards 0
0 Red cards 0
The table before the match Mattersburg 11. · Wolfsberger AC 3.
# Team K V U T +/− P
1 Salzburg 14 12 2 0 +44 38
2 LASK 14 11 2 1 +21 35
3 Wolfsberger AC 14 8 3 3 +18 27
4 SK Rapid 14 7 3 4 +10 24
5 Sturm Graz 14 7 2 5 +7 23
6 Hartberg 14 6 3 5 -1 21
7 Austria Vienna 14 4 3 7 -8 15
8 St. Polten 14 3 4 7 -22 13
9 Tirol 14 3 3 8 -15 12
10 Altach 14 3 1 10 -13 10
11 Mattersburg 14 3 1 10 -22 10
12 Admira 14 2 3 9 -19 9

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.