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Bundesliga
Referee: M Schüttengruber
3–1
Full-time
A. Klagenfurt
T S T 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

Austria Vienna A. Klagenfurt
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,2
Over 2.5 Ø 59%
50%
67%
Both score Ø 59%
50%
67%
Average goals
2,3
3,0
Scored
0,8
1,3
Conceded
1,5
1,7
Goal diff per game
-0,7
-0,3
This season — Bundesliga · 16/16 matches
Win Ø 38%
38%
38%
Points per game
1,4
1,3
Over 2.5 Ø 72%
81%
63%
Both score Ø 63%
63%
63%
Average goals
3,1
3,4
Scored
1,6
1,6
Conceded
1,6
1,8
Goal diff per game
+0,0
-0,2
🔒 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

52% Possession 48%
10 Shots 7
5 Shots on target 1
1 Blocked shots 1
0 Goalkeeper saves 2
6 Corners 7
2 Offside 2
15 Free kicks against 16
3 Yellow cards 2
0 Red cards 0
The table before the match Austria Vienna 6. · A. Klagenfurt 7.
# Team K V U T +/− P
1 Salzburg 17 13 3 1 +28 42
2 Sturm Graz 17 10 6 1 +16 36
3 LASK 17 8 6 3 +10 30
4 Tirol 17 8 3 6 +2 27
5 SK Rapid 17 7 3 7 +6 24
6 Austria Vienna 16 6 5 5 +0 23
7 A. Klagenfurt 16 6 3 7 -3 21
8 A. Lustenau 17 4 6 7 -9 18
9 Wolfsberger AC 17 5 2 10 -6 17
10 Altach 17 4 3 10 -15 15
11 Hartberg 17 4 2 11 -16 14
12 Ried 17 3 4 10 -13 13

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

M Schüttengruber · 58 kamper i vår database

🟨 Yellow cards
4,3 / match
Average
⚽ Free kicks
25,7 / match
Average

🟥 Red cards: 0,24 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.