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2. Bundesliga
Heidenheim
T T S S U
3–2
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 Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
1,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 67%
67%
67%
Average goals
3,2
3,0
Scored
1,7
1,3
Conceded
1,5
1,7
Goal diff per game
+0,2
-0,3
This season — 2. Bundesliga · 22/22 matches
Win Ø 43%
41%
45%
Points per game
1,5
1,6
Over 2.5 Ø 57%
50%
64%
Both score Ø 48%
45%
50%
Average goals
2,8
2,8
Scored
1,5
1,5
Conceded
1,3
1,3
Goal diff per game
+0,1
+0,1
🔒 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: 1–0

9 Shots 17
4 Shots on target 8
4 Corners 6
16 Free kicks against 7
1 Yellow cards 1
0 Red cards 0
The table before the match Heidenheim 8. · Fortuna Dusseldorf 6.
# Team K V U T +/− P
1 Bochum 23 14 3 6 +20 45
2 Holstein Kiel 23 13 6 4 +16 45
3 Greuther Furth 23 12 7 4 +18 43
4 Hamburg 22 12 6 4 +20 42
5 Karlsruhe 23 12 3 8 +7 39
6 Fortuna Dusseldorf 22 10 6 6 +3 36
7 Hannover 23 10 4 9 +8 34
8 Heidenheim 22 9 6 7 +3 33
9 Erzgebirge Aue 23 9 5 9 +0 32
10 Paderborn 23 8 7 8 +1 31
11 Regensburg 23 7 8 8 -4 29
12 St Pauli 22 7 7 8 -4 28
13 Nurnberg 22 7 5 10 -5 26
14 Darmstadt 23 7 4 12 -6 25
15 Osnabruck 22 6 4 12 -12 22
16 Braunschweig 22 5 5 12 -22 20
17 Sandhausen 22 5 3 14 -19 18
18 Wurzburger Kickers 23 4 3 16 -24 15

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 ✓
2,63
U
3,20
B
2,67
Over/under goals
O1,5 ✓
O2,5 ✓
2,02
U2,5
1,78
O3,5 ✓
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.