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Bundesliga
Referee: J Spurny
Tirol
T T S U T
1–1
Full-time
Hartberg
U T S U U

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

Tirol Hartberg
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,7
1,0
Over 2.5 Ø 42%
17%
67%
Both score Ø 42%
17%
67%
Average goals
2,2
3,0
Scored
0,8
1,5
Conceded
1,3
1,5
Goal diff per game
-0,5
+0,0
This season — Bundesliga · 26/26 matches
Win Ø 29%
35%
23%
Points per game
1,2
0,9
Over 2.5 Ø 64%
62%
65%
Both score Ø 58%
58%
58%
Average goals
3,0
3,0
Scored
1,4
1,1
Conceded
1,6
1,8
Goal diff per game
-0,2
-0,7
🔒 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

49% Possession 51%
11 Shots 21
5 Shots on target 7
2 Blocked shots 6
6 Goalkeeper saves 4
5 Corners 4
1 Offside 2
15 Free kicks against 11
3 Yellow cards 4
0 Red cards 0
The table before the match Tirol 8. · Hartberg 10.
# Team K V U T +/− P
1 Salzburg 27 19 7 1 +41 64
2 Sturm Graz 27 17 6 4 +24 57
3 LASK 26 12 10 4 +13 46
4 SK Rapid 27 11 5 11 +6 38
5 Austria Vienna 27 10 8 9 +4 38
6 A. Lustenau 26 10 6 10 -6 36
7 A. Klagenfurt 26 10 3 13 -11 33
8 Tirol 26 9 5 12 -4 32
9 Wolfsberger AC 27 9 4 14 -5 31
10 Hartberg 26 6 5 15 -19 23
11 Altach 27 5 7 15 -24 22
12 Ried 26 4 8 14 -19 20

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.