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2. Bundesliga
Heidenheim
U S S S T
2–4
Full-time
St Pauli
S T S S S

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 59%
50%
67%
Points per game
1,7
2,0
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
50%
50%
Average goals
2,3
3,2
Scored
1,2
2,2
Conceded
1,2
1,0
Goal diff per game
+0,0
+1,2
This season — 2. Bundesliga · 9/9 matches
Win Ø 56%
44%
67%
Points per game
1,7
2,1
Over 2.5 Ø 62%
56%
67%
Both score Ø 50%
56%
44%
Average goals
2,1
3,0
Scored
1,1
2,1
Conceded
1,0
0,9
Goal diff per game
+0,1
+1,2
🔒 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

10 Shots 11
4 Shots on target 7
3 Corners 7
12 Free kicks against 10
3 Yellow cards 2
0 Red cards 0
The table before the match Heidenheim 6. · St Pauli 1.
# Team K V U T +/− P
1 St Pauli 9 6 1 2 +11 19
2 Regensburg 10 5 4 1 +10 19
3 Schalke 04 10 6 1 3 +6 19
4 Paderborn 10 5 3 2 +10 18
5 Nurnberg 9 3 6 0 +4 15
6 Heidenheim 9 4 3 2 +1 15
7 Hamburg 9 3 5 1 +4 14
8 Werder Bremen 9 4 2 3 +2 14
9 Darmstadt 9 4 1 4 +8 13
10 Karlsruhe 9 3 4 2 +3 13
11 Dresden 9 4 1 4 +2 13
12 Fortuna Dusseldorf 9 3 2 4 -2 11
13 Hannover 10 3 2 5 -6 11
14 Hansa Rostock 9 3 1 5 -4 10
15 Holstein Kiel 9 2 2 5 -10 8
16 Sandhausen 9 2 1 6 -12 7
17 Erzgebirge Aue 9 0 4 5 -10 4
18 Ingolstadt 9 1 1 7 -17 4

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
2,58
U
3,36
B ✓
2,64
Over/under goals
O1,5 ✓
O2,5 ✓
1,70
U2,5
2,14
O3,5 ✓
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.