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

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 Dresden
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,0
1,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 50%
50%
50%
Average goals
1,5
3,0
Scored
0,7
1,8
Conceded
0,8
1,2
Goal diff per game
-0,2
+0,7
This season — 2. Bundesliga · 5/5 matches
Win Ø 40%
20%
60%
Points per game
1,2
2,0
Over 2.5 Ø 40%
20%
60%
Both score Ø 40%
40%
40%
Average goals
1,2
2,8
Scored
0,6
1,8
Conceded
0,6
1,0
Goal diff per game
+0,0
+0,8
🔒 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

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

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 ✓
2,12
U
3,44
B
3,31
Over/under goals
O1,5 ✓
O2,5 ✓
1,85
U2,5
1,95
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.