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

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 34%
50%
17%
Points per game
1,7
1,0
Over 2.5 Ø 67%
83%
50%
Both score Ø 58%
83%
33%
Average goals
2,8
2,5
Scored
1,7
1,0
Conceded
1,2
1,5
Goal diff per game
+0,5
-0,5
This season — 2. Bundesliga · 2/3 matches
Win Ø 42%
50%
33%
Points per game
2,0
1,3
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
50%
33%
Average goals
2,5
2,7
Scored
2,0
1,3
Conceded
0,5
1,3
Goal diff per game
+1,5
+0,0
🔒 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

13 Shots 25
7 Shots on target 10
2 Corners 6
12 Free kicks against 14
1 Yellow cards 2
0 Red cards 0
The table before the match Erzgebirge Aue 8. · Heidenheim 11.
# Team K V U T +/− P
1 Hamburg 3 3 0 0 +3 9
2 Holstein Kiel 3 2 1 0 +2 7
3 Hannover 3 2 0 1 +4 6
4 Sandhausen 4 2 0 2 -2 6
5 Osnabruck 3 1 2 0 +1 5
6 Regensburg 3 1 2 0 +1 5
7 Bochum 4 1 2 1 +0 5
8 Erzgebirge Aue 2 1 1 0 +3 4
9 St Pauli 3 1 1 1 +1 4
10 Darmstadt 3 1 1 1 +0 4
11 Heidenheim 3 1 1 1 +0 4
12 Nurnberg 3 1 1 1 +0 4
13 Braunschweig 4 1 1 2 -4 4
14 Greuther Furth 4 0 3 1 -1 3
15 Fortuna Dusseldorf 3 1 0 2 -1 3
16 Karlsruhe 4 1 0 3 -1 3
17 Paderborn 3 0 1 2 -2 1
18 Wurzburger Kickers 3 0 1 2 -4 1

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 ✓
2,57
U
3,32
B
2,67
Over/under goals
O1,5 ✓
O2,5 ✓
1,84
U2,5
1,95
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.