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

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

Erzgebirge Aue Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,7
1,8
Over 2.5 Ø 50%
67%
33%
Both score Ø 42%
50%
33%
Average goals
3,7
2,0
Scored
1,8
1,3
Conceded
1,8
0,7
Goal diff per game
+0,0
+0,7
This season — 2. Bundesliga · 11/11 matches
Win Ø 41%
45%
36%
Points per game
1,6
1,5
Over 2.5 Ø 55%
55%
55%
Both score Ø 55%
55%
55%
Average goals
3,2
2,6
Scored
1,6
1,5
Conceded
1,5
1,2
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: 0–0

8 Shots 13
2 Shots on target 5
4 Corners 4
16 Free kicks against 19
3 Yellow cards 5
0 Red cards 0
The table before the match Erzgebirge Aue 4. · Heidenheim 6.
# 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 12 4 4 4 +4 16
6 Heidenheim 11 4 4 3 +3 16
7 Greuther Furth 11 4 3 4 -3 15
8 Nurnberg 11 3 5 3 +0 14
9 Sandhausen 12 3 5 4 -1 14
10 Karlsruhe 11 3 5 3 -2 14
11 Holstein Kiel 11 4 2 5 -2 14
12 Darmstadt 11 3 5 3 -2 14
13 Hannover 12 3 5 4 -4 14
14 Osnabruck 12 3 4 5 +1 13
15 St Pauli 11 3 4 4 +0 13
16 Bochum 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 11 2 3 6 -11 9

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
2,44
U ✓
3,31
B
2,83
Over/under goals
O1,5 ✓
O2,5
1,82
U2,5 ✓
1,99
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.