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2. Bundesliga
Heidenheim
S S U T U
1–0
Full-time
St Pauli
S U S 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

Heidenheim St Pauli
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,5
Over 2.5 Ø 34%
50%
17%
Both score Ø 50%
50%
50%
Average goals
2,5
2,5
Scored
1,5
1,5
Conceded
1,0
1,0
Goal diff per game
+0,5
+0,5
This season — 2. Bundesliga · 10/10 matches
Win Ø 30%
30%
30%
Points per game
1,3
1,3
Over 2.5 Ø 50%
60%
40%
Both score Ø 65%
60%
70%
Average goals
2,8
2,7
Scored
1,5
1,4
Conceded
1,3
1,3
Goal diff per game
+0,2
+0,1
🔒 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: 0–0

12 Shots 15
2 Shots on target 4
7 Corners 2
14 Free kicks against 14
0 Yellow cards 2
0 Red cards 0
The table before the match Heidenheim 10. · St Pauli 11.
# Team K V U T +/− P
1 Hamburg 11 7 3 1 +18 24
2 Bielefeld 11 6 4 1 +10 22
3 Stuttgart 11 6 2 3 +1 20
4 Erzgebirge Aue 11 5 3 3 +1 18
5 Regensburg 10 4 2 4 +4 14
6 Karlsruhe 11 3 5 3 -2 14
7 Holstein Kiel 11 4 2 5 -2 14
8 Darmstadt 11 3 5 3 -2 14
9 Greuther Furth 10 4 2 4 -3 14
10 Heidenheim 10 3 4 3 +2 13
11 St Pauli 10 3 4 3 +1 13
12 Nurnberg 10 3 4 3 +0 13
13 Hannover 11 3 4 4 -4 13
14 Sandhausen 10 3 3 4 -1 12
15 Osnabruck 10 3 2 5 +1 11
16 Bochum 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 10 2 2 6 -11 8

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 ✓
2,18
U
3,40
B
3,20
Over/under goals
U1,5 ✓
O2,5
1,70
U2,5 ✓
2,14
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

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