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

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Hamburg Dresden
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,7
0,5
Over 2.5 Ø 33%
33%
33%
Both score Ø 58%
83%
33%
Average goals
3,3
2,5
Scored
2,2
0,5
Conceded
1,2
2,0
Goal diff per game
+1,0
-1,5
This season — 2. Bundesliga · 13/13 matches
Win Ø 39%
54%
23%
Points per game
2,0
0,9
Over 2.5 Ø 50%
46%
54%
Both score Ø 54%
54%
54%
Average goals
3,2
2,9
Scored
2,3
1,1
Conceded
0,9
1,8
Goal diff per game
+1,4
-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: 0–0

16 Shots 12
8 Shots on target 4
7 Corners 2
10 Free kicks against 13
1 Yellow cards 3
0 Red cards 0
The table before the match Hamburg 2. · Dresden 17.
# Team K V U T +/− P
1 Bielefeld 13 8 4 1 +15 28
2 Hamburg 13 7 5 1 +18 26
3 Erzgebirge Aue 14 6 5 3 +3 23
4 Stuttgart 13 7 2 4 +2 23
5 Heidenheim 13 5 5 3 +7 20
6 Greuther Furth 13 5 3 5 -2 18
7 Regensburg 13 4 5 4 +4 17
8 Osnabruck 14 4 5 5 +2 17
9 Sandhausen 13 4 5 4 +0 17
10 Karlsruhe 13 3 7 3 -2 16
11 St Pauli 14 3 6 5 -2 15
12 Holstein Kiel 13 4 3 6 -3 15
13 Darmstadt 13 3 6 4 -4 15
14 Bochum 14 2 8 4 -2 14
15 Nurnberg 13 3 5 5 -6 14
16 Hannover 13 3 5 5 -8 14
17 Dresden 13 3 3 7 -10 12
18 Wehen 13 2 4 7 -12 10

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 ✓
1,33
U
5,10
B
8,58
Over/under goals
O1,5 ✓
O2,5 ✓
1,52
U2,5
2,49
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.