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

Sandhausen 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 50%
83%
17%
Average goals
2,8
1,5
Scored
1,5
0,8
Conceded
1,3
0,7
Goal diff per game
+0,2
+0,2
This season — 2. Bundesliga · 20/20 matches
Win Ø 35%
30%
40%
Points per game
1,4
1,6
Over 2.5 Ø 40%
30%
50%
Both score Ø 53%
60%
45%
Average goals
2,4
2,4
Scored
1,2
1,4
Conceded
1,2
1,1
Goal diff per game
+0,1
+0,3
🔒 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

17 Shots 9
3 Shots on target 3
7 Corners 8
13 Free kicks against 14
2 Yellow cards 2
0 Red cards 0
The table before the match Sandhausen 10. · Heidenheim 5.
# Team K V U T +/− P
1 Bielefeld 20 10 8 2 +16 38
2 Hamburg 20 10 7 3 +22 37
3 Stuttgart 20 10 5 5 +9 35
4 Greuther Furth 20 9 4 7 +6 31
5 Heidenheim 20 8 7 5 +6 31
6 Erzgebirge Aue 20 8 6 6 +2 30
7 Regensburg 20 8 5 7 +3 29
8 Osnabruck 20 7 6 7 +4 27
9 Holstein Kiel 20 7 6 7 +1 27
10 Sandhausen 20 6 9 5 +1 27
11 Darmstadt 20 4 11 5 -5 23
12 St Pauli 20 5 7 8 -2 22
13 Nurnberg 20 5 7 8 -9 22
14 Hannover 20 5 7 8 -9 22
15 Wehen 20 5 6 9 -13 21
16 Bochum 20 4 8 8 -6 20
17 Karlsruhe 20 4 8 8 -10 20
18 Dresden 20 4 5 11 -16 17

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
2,37
U
3,18
B ✓
3,05
Over/under goals
U1,5 ✓
O2,5
1,95
U2,5 ✓
1,84
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.