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

Hamburg Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
1,8
Over 2.5 Ø 42%
50%
33%
Both score Ø 67%
100%
33%
Average goals
3,3
2,0
Scored
2,0
1,3
Conceded
1,3
0,7
Goal diff per game
+0,7
+0,7
This season — 2. Bundesliga · 15/15 matches
Win Ø 47%
53%
40%
Points per game
1,9
1,5
Over 2.5 Ø 53%
53%
53%
Both score Ø 57%
60%
53%
Average goals
3,2
2,7
Scored
2,2
1,5
Conceded
1,0
1,1
Goal diff per game
+1,2
+0,4
🔒 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

16 Shots 9
9 Shots on target 2
8 Corners 1
6 Free kicks against 11
0 Yellow cards 0
0 Red cards 0
The table before the match Hamburg 2. · Heidenheim 4.
# Team K V U T +/− P
1 Bielefeld 15 9 5 1 +17 32
2 Hamburg 15 8 5 2 +18 29
3 Stuttgart 15 8 2 5 +4 26
4 Heidenheim 15 6 5 4 +6 23
5 Erzgebirge Aue 15 6 5 4 +1 23
6 Holstein Kiel 15 6 3 6 +1 21
7 Sandhausen 15 5 6 4 +1 21
8 Regensburg 15 5 5 5 +3 20
9 Osnabruck 15 5 5 5 +3 20
10 Karlsruhe 15 4 7 4 -2 19
11 Greuther Furth 15 5 4 6 -3 19
12 Darmstadt 15 4 6 5 -5 18
13 Bochum 15 3 8 4 +0 17
14 Hannover 15 4 5 6 -8 17
15 St Pauli 15 3 6 6 -3 15
16 Nurnberg 15 3 6 6 -8 15
17 Wehen 15 3 4 8 -13 13
18 Dresden 15 3 3 9 -12 12

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
1,53
U
4,11
B ✓
5,93
Over/under goals
U1,5 ✓
O2,5
1,66
U2,5 ✓
2,21
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.