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Bundesliga
Referee: A Kijas
A. Lustenau
S S U T U
0–2
Full-time

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

A. Lustenau Austria Vienna
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
1,8
Over 2.5 Ø 59%
67%
50%
Both score Ø 67%
83%
50%
Average goals
3,7
2,7
Scored
1,8
1,7
Conceded
1,8
1,0
Goal diff per game
+0,0
+0,7
This season — Bundesliga · 1/1 matches
Win Ø 0%
0%
0%
Points per game
1,0
0,0
Over 2.5 Ø 100%
100%
100%
Both score Ø 50%
100%
0%
Average goals
4,0
3,0
Scored
2,0
0,0
Conceded
2,0
3,0
Goal diff per game
+0,0
-3,0
🔒 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: 0–1

43% Possession 57%
11 Shots 25
6 Shots on target 8
4 Blocked shots 8
6 Goalkeeper saves 6
0 Corners 12
2 Offside 5
10 Free kicks against 13
0 Yellow cards 4
0 Red cards 0
The table before the match A. Lustenau 7. · Austria Vienna 11.
# Team K V U T +/− P
1 Sturm Graz 2 2 0 0 +5 6
2 SK Rapid 2 1 1 0 +4 4
3 A. Klagenfurt 1 1 0 0 +2 3
4 Salzburg 1 1 0 0 +2 3
5 Wolfsberger AC 1 1 0 0 +1 3
6 Hartberg 1 0 1 0 +0 1
7 A. Lustenau 1 0 1 0 +0 1
8 LASK 2 0 1 1 -2 1
9 BW Linz 1 0 0 1 -1 0
10 Tirol 1 0 0 1 -2 0
11 Austria Vienna 1 0 0 1 -3 0
12 Altach 2 0 0 2 -6 0

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 ✓
U2,5 ✓
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

A Kijas · 62 kamper i vår database

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

🟥 Red cards: 0,13 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.