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Bundesliga
Referee: J Spurny
Hartberg
U S S S T
3–3
Full-time
St. Polten
U S T T T

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

Hartberg St. Polten
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
0,7
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
50%
50%
Average goals
2,3
2,5
Scored
1,2
0,7
Conceded
1,2
1,8
Goal diff per game
+0,0
-1,2
This season — Bundesliga · 21/21 matches
Win Ø 29%
33%
24%
Points per game
1,3
1,0
Over 2.5 Ø 55%
48%
62%
Both score Ø 55%
62%
48%
Average goals
2,7
3,3
Scored
1,0
1,4
Conceded
1,7
1,9
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: 0–1

65% Possession 35%
18 Shots 13
8 Shots on target 6
3 Blocked shots 0
3 Goalkeeper saves 5
7 Corners 1
2 Offside 6
10 Free kicks against 11
3 Yellow cards 1
0 Red cards 0
The table before the match Hartberg 7. · St. Polten 9.
# Team K V U T +/− P
1 Salzburg 22 17 1 4 +43 52
2 SK Rapid 21 13 5 3 +18 44
3 LASK 22 13 3 6 +21 42
4 Sturm Graz 21 11 5 5 +14 38
5 Wolfsberger AC 21 9 3 9 -1 30
6 Tirol 21 8 5 8 +3 29
7 Hartberg 21 7 7 7 -13 28
8 Austria Vienna 21 6 7 8 +1 25
9 St. Polten 21 5 5 11 -10 20
10 Altach 21 5 3 13 -24 18
11 Ried 21 4 4 13 -24 16
12 Admira 21 3 4 14 -28 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.

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