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

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

Heidenheim Greuther Furth
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,5
Over 2.5 Ø 75%
67%
83%
Both score Ø 75%
67%
83%
Average goals
3,2
2,8
Scored
1,8
1,5
Conceded
1,3
1,3
Goal diff per game
+0,5
+0,2
This season — 2. Bundesliga · 25/26 matches
Win Ø 47%
44%
50%
Points per game
1,6
1,8
Over 2.5 Ø 61%
52%
69%
Both score Ø 57%
48%
65%
Average goals
2,8
3,2
Scored
1,5
1,9
Conceded
1,4
1,2
Goal diff per game
+0,1
+0,7
🔒 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

5 Shots 12
0 Shots on target 5
4 Corners 4
15 Free kicks against 9
3 Yellow cards 4
0 Red cards 0
The table before the match Heidenheim 7. · Greuther Furth 3.
# Team K V U T +/− P
1 Bochum 26 16 3 7 +22 51
2 Hamburg 26 14 7 5 +23 49
3 Greuther Furth 26 13 8 5 +18 47
4 Holstein Kiel 24 13 7 4 +16 46
5 Karlsruhe 26 12 6 8 +7 42
6 Fortuna Dusseldorf 26 11 7 8 +1 40
7 Heidenheim 25 11 6 8 +3 39
8 Erzgebirge Aue 26 10 6 10 -1 36
9 Hannover 24 10 5 9 +8 35
10 Paderborn 26 9 8 9 +2 35
11 St Pauli 26 9 8 9 -4 35
12 Darmstadt 26 9 5 12 -2 32
13 Regensburg 25 7 9 9 -5 30
14 Nurnberg 26 7 8 11 -7 29
15 Braunschweig 26 6 8 12 -21 26
16 Osnabruck 25 6 5 14 -16 23
17 Sandhausen 26 6 4 16 -19 22
18 Wurzburger Kickers 25 4 4 17 -25 16

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
2,68
U
3,33
B ✓
2,56
Over/under goals
U1,5 ✓
O2,5
1,88
U2,5 ✓
1,90
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.