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Bundesliga
Referee: A Harkam
Salzburg
S U S T S
2–1
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

Salzburg Wolfsberger AC
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,5
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
33%
67%
Average goals
2,5
3,2
Scored
2,0
1,7
Conceded
0,5
1,5
Goal diff per game
+1,5
+0,2
This season — Bundesliga · 3/3 matches
Win Ø 34%
67%
0%
Points per game
2,0
0,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
33%
100%
Average goals
2,7
4,0
Scored
2,0
1,3
Conceded
0,7
2,7
Goal diff per game
+1,3
-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: 2–0

63% Possession 37%
9 Shots 7
3 Shots on target 2
3 Blocked shots 1
2 Goalkeeper saves 1
17 Corners 0
6 Offside 3
15 Free kicks against 7
1 Yellow cards 0
0 Red cards 0
The table before the match Salzburg 4. · Wolfsberger AC 12.
# Team K V U T +/− P
1 Sturm Graz 4 2 2 0 +5 8
2 LASK 3 2 1 0 +6 7
3 SK Rapid 3 2 1 0 +2 7
4 Salzburg 3 2 0 1 +4 6
5 A. Lustenau 3 1 1 1 +0 4
6 Tirol 4 1 1 2 -1 4
7 Ried 4 1 1 2 -1 4
8 A. Klagenfurt 4 1 1 2 -2 4
9 Austria Vienna 4 1 1 2 -3 4
10 Altach 4 1 1 2 -4 4
11 Hartberg 3 1 0 2 -2 3
12 Wolfsberger AC 3 0 2 1 -4 2

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
U
B
Over/under goals
O1,5 ✓
O2,5 ✓
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

A Harkam · 87 kamper i vår database

🟨 Yellow cards
3,8 / match
Below average
⚽ Free kicks
24,2 / match
Average

🟥 Red cards: 0,26 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.