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2. Bundesliga
2–0
Full-time
Heidenheim
S T T T 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 34%
17%
50%
Points per game
0,8
1,5
Over 2.5 Ø 67%
50%
83%
Both score Ø 67%
83%
50%
Average goals
3,0
3,5
Scored
1,2
1,3
Conceded
1,8
2,2
Goal diff per game
-0,7
-0,8
This season — 2. Bundesliga · 12/12 matches
Win Ø 25%
8%
42%
Points per game
0,7
1,5
Over 2.5 Ø 50%
42%
58%
Both score Ø 54%
58%
50%
Average goals
2,3
2,5
Scored
0,8
1,1
Conceded
1,6
1,4
Goal diff per game
-0,8
-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: 2–0

12 Shots 12
5 Shots on target 5
3 Corners 7
8 Free kicks against 17
1 Yellow cards 3
0 Red cards 0
The table before the match Erzgebirge Aue 17. · Heidenheim 9.
# Team K V U T +/− P
1 St Pauli 12 8 2 2 +17 26
2 Regensburg 13 7 4 2 +14 25
3 Paderborn 13 7 3 3 +12 24
4 Schalke 04 12 7 1 4 +8 22
5 Nurnberg 13 5 6 2 +6 21
6 Darmstadt 12 6 2 4 +13 20
7 Hamburg 13 4 8 1 +5 20
8 Werder Bremen 13 5 4 4 +0 19
9 Heidenheim 12 5 3 4 -4 18
10 Karlsruhe 13 4 5 4 +0 17
11 Hansa Rostock 13 5 2 6 -6 17
12 Fortuna Dusseldorf 13 4 4 5 -1 16
13 Holstein Kiel 13 3 5 5 -9 14
14 Dresden 13 4 1 8 -4 13
15 Hannover 13 3 4 6 -8 13
16 Sandhausen 12 3 3 6 -11 12
17 Erzgebirge Aue 12 1 5 6 -10 8
18 Ingolstadt 13 1 2 10 -22 5

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 ✓
3,48
U
3,41
B
2,07
Over/under goals
O1,5 ✓
O2,5
1,87
U2,5 ✓
1,93
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.