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2. Bundesliga
0–0
Full-time
Heidenheim
S U S 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

Greuther Furth Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,0
1,7
Over 2.5 Ø 50%
33%
67%
Both score Ø 50%
67%
33%
Average goals
2,3
2,5
Scored
1,0
1,5
Conceded
1,3
1,0
Goal diff per game
-0,3
+0,5
This season — 2. Bundesliga · 31/31 matches
Win Ø 40%
35%
45%
Points per game
1,4
1,6
Over 2.5 Ø 49%
45%
52%
Both score Ø 49%
55%
42%
Average goals
2,7
2,4
Scored
1,4
1,4
Conceded
1,3
1,0
Goal diff per game
+0,1
+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

10 Shots 11
1 Shots on target 3
4 Corners 2
16 Free kicks against 24
0 Yellow cards 0
0 Red cards 0
The table before the match Greuther Furth 7. · Heidenheim 4.
# Team K V U T +/− P
1 Bielefeld 31 16 13 2 +31 61
2 Hamburg 31 14 11 6 +21 53
3 Stuttgart 31 15 7 9 +13 52
4 Heidenheim 31 14 9 8 +11 51
5 Darmstadt 31 11 13 7 +2 46
6 Bochum 31 10 12 9 +3 42
7 Greuther Furth 31 11 9 11 +2 42
8 Hannover 31 11 9 11 +0 42
9 Erzgebirge Aue 31 11 8 12 -3 41
10 Sandhausen 31 9 13 9 -1 40
11 Holstein Kiel 31 10 9 12 -2 39
12 Regensburg 31 10 9 12 -6 39
13 St Pauli 31 9 11 11 -3 38
14 Osnabruck 31 8 11 12 -5 35
15 Karlsruhe 31 7 12 12 -11 33
16 Nurnberg 31 7 12 12 -13 33
17 Wehen 31 8 7 16 -14 31
18 Dresden 31 7 7 17 -25 28

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
3,09
U ✓
3,50
B
2,18
Over/under goals
U1,5 ✓
O2,5
1,79
U2,5 ✓
2,01
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.