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Bundesliga
Referee: A Talic
A. Klagenfurt
U S T T U
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

A. Klagenfurt 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 59%
67%
50%
Both score Ø 50%
50%
50%
Average goals
3,0
2,5
Scored
1,3
1,3
Conceded
1,7
1,2
Goal diff per game
-0,3
+0,2
This season — Bundesliga · 10/11 matches
Win Ø 38%
30%
45%
Points per game
1,2
1,5
Over 2.5 Ø 57%
50%
64%
Both score Ø 57%
50%
64%
Average goals
2,8
3,5
Scored
1,1
2,0
Conceded
1,7
1,5
Goal diff per game
-0,6
+0,5
🔒 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

40% Possession 60%
7 Shots 14
3 Shots on target 4
1 Blocked shots 4
3 Goalkeeper saves 1
4 Corners 7
1 Offside 5
13 Free kicks against 12
2 Yellow cards 5
0 Red cards 0
The table before the match A. Klagenfurt 9. · Wolfsberger AC 5.
# Team K V U T +/− P
1 Sturm Graz 12 8 2 2 +13 26
2 SK Rapid 12 6 5 1 +4 23
3 Austria Vienna 11 5 3 3 +4 18
4 Salzburg 10 5 3 2 +3 18
5 Wolfsberger AC 11 5 2 4 +6 17
6 Hartberg 11 4 4 3 +1 16
7 LASK 12 4 2 6 -1 14
8 BW Linz 11 4 2 5 -3 14
9 A. Klagenfurt 10 3 3 4 -6 12
10 Altach 11 2 3 6 -4 9
11 Tirol 11 2 3 6 -7 9
12 Grazer AK 12 0 6 6 -10 6

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 Talic · 36 kamper i vår database

🟨 Yellow cards
5,1 / match
Above average
⚽ Free kicks
22,3 / match
Below average

🟥 Red cards: 0,28 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.