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Bundesliga
Referee: W Altmann
0–4
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

Austria Vienna Wolfsberger AC
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,3
Over 2.5 Ø 25%
33%
17%
Both score Ø 33%
33%
33%
Average goals
2,2
1,5
Scored
1,2
0,7
Conceded
1,0
0,8
Goal diff per game
+0,2
-0,2
This season — Bundesliga · 30/30 matches
Win Ø 35%
37%
33%
Points per game
1,4
1,3
Over 2.5 Ø 42%
40%
43%
Both score Ø 40%
33%
47%
Average goals
2,1
2,4
Scored
1,1
1,1
Conceded
1,0
1,3
Goal diff per game
+0,1
-0,1
🔒 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: 0–1

66% Possession 34%
21 Shots 9
7 Shots on target 4
7 Blocked shots 5
0 Goalkeeper saves 7
10 Corners 5
3 Offside 4
12 Free kicks against 19
3 Yellow cards 2
0 Red cards 0
The table before the match Austria Vienna 4. · Wolfsberger AC 7.
# Team K V U T +/− P
1 Sturm Graz 30 18 9 3 +31 63
2 Salzburg 30 18 7 5 +35 61
3 LASK 30 14 9 7 +16 51
4 Austria Vienna 30 11 10 9 +4 43
5 SK Rapid 30 10 12 8 +14 42
6 Hartberg 30 11 9 10 -2 42
7 Wolfsberger AC 30 10 10 10 -4 40
8 A. Klagenfurt 30 9 12 9 -7 39
9 BW Linz 30 7 11 12 -13 32
10 Altach 30 5 12 13 -14 27
11 Tirol 30 7 5 18 -23 26
12 A. Lustenau 30 3 8 19 -37 17

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 ✓
O3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

W Altmann · 102 kamper i vår database

🟨 Yellow cards
4,1 / match
Average
⚽ Free kicks
25,6 / match
Average

🟥 Red cards: 0,18 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.