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

Dresden 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%
33%
67%
Average goals
1,8
2,8
Scored
0,5
1,5
Conceded
1,3
1,3
Goal diff per game
-0,8
+0,2
This season — 2. Bundesliga · 22/22 matches
Win Ø 41%
32%
50%
Points per game
1,1
1,7
Over 2.5 Ø 57%
55%
59%
Both score Ø 43%
36%
50%
Average goals
2,4
2,5
Scored
1,0
1,3
Conceded
1,4
1,3
Goal diff per game
-0,4
+0,0
🔒 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

9 Shots 7
2 Shots on target 2
0 Corners 5
10 Free kicks against 7
1 Yellow cards 5
0 Red cards 0
The table before the match Dresden 12. · Heidenheim 6.
# Team K V U T +/− P
1 St Pauli 22 12 5 5 +14 41
2 Werder Bremen 22 12 5 5 +13 41
3 Hamburg 22 10 10 2 +21 40
4 Darmstadt 22 12 4 6 +18 40
5 Schalke 04 22 11 4 7 +16 37
6 Heidenheim 22 11 4 7 +0 37
7 Nurnberg 22 9 6 7 -2 33
8 Paderborn 22 8 8 6 +10 32
9 Regensburg 22 9 4 9 +7 31
10 Holstein Kiel 22 8 7 7 -4 31
11 Karlsruhe 22 7 8 7 +3 29
12 Dresden 22 7 4 11 -8 25
13 Hannover 22 6 7 9 -14 25
14 Hansa Rostock 22 6 6 10 -9 24
15 Sandhausen 22 6 6 10 -15 24
16 Fortuna Dusseldorf 22 6 5 11 -6 23
17 Erzgebirge Aue 22 3 6 13 -23 15
18 Ingolstadt 22 3 5 14 -21 14

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
3,22
U ✓
3,25
B
2,28
Over/under goals
O1,5 ✓
O2,5
2,10
U2,5 ✓
1,73
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.