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

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

Darmstadt Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,8
Over 2.5 Ø 59%
67%
50%
Both score Ø 58%
83%
33%
Average goals
3,2
2,2
Scored
1,8
1,2
Conceded
1,3
1,0
Goal diff per game
+0,5
+0,2
This season — 2. Bundesliga · 23/23 matches
Win Ø 37%
30%
43%
Points per game
1,4
1,7
Over 2.5 Ø 48%
48%
48%
Both score Ø 52%
61%
43%
Average goals
2,6
2,3
Scored
1,3
1,3
Conceded
1,3
1,0
Goal diff per game
-0,1
+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

18 Shots 20
4 Shots on target 5
5 Corners 9
10 Free kicks against 9
2 Yellow cards 1
0 Red cards 1
The table before the match Darmstadt 7. · Heidenheim 4.
# Team K V U T +/− P
1 Bielefeld 23 13 8 2 +25 47
2 Stuttgart 23 13 5 5 +15 44
3 Hamburg 23 11 8 4 +22 41
4 Heidenheim 23 10 8 5 +8 38
5 Holstein Kiel 23 9 6 8 +2 33
6 Greuther Furth 23 9 5 9 +2 32
7 Darmstadt 23 7 11 5 -2 32
8 Regensburg 24 9 5 10 -5 32
9 Erzgebirge Aue 23 8 7 8 -2 31
10 Osnabruck 23 7 8 8 +3 29
11 Nurnberg 24 7 8 9 -8 29
12 Sandhausen 23 6 9 8 -3 27
13 St Pauli 23 6 8 9 -1 26
14 Bochum 23 6 8 9 -5 26
15 Hannover 23 6 8 9 -8 26
16 Karlsruhe 24 5 9 10 -11 24
17 Wehen 23 5 7 11 -15 22
18 Dresden 24 5 6 13 -17 21

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 ✓
2,41
U
3,17
B
2,98
Over/under goals
O1,5 ✓
O2,5
2,03
U2,5 ✓
1,77
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.