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2. Bundesliga
Hamburg
U S T S S
1–1
Full-time
Dresden
T T S U 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 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
83%
17%
Average goals
4,0
2,5
Scored
2,7
1,0
Conceded
1,3
1,5
Goal diff per game
+1,3
-0,5
This season — 2. Bundesliga · 1/1 matches
Win Ø 100%
100%
100%
Points per game
3,0
3,0
Over 2.5 Ø 100%
100%
100%
Both score Ø 50%
100%
0%
Average goals
4,0
3,0
Scored
3,0
3,0
Conceded
1,0
0,0
Goal diff per game
+2,0
+3,0
🔒 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: 1–0

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

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
1,66
U ✓
3,83
B
5,05
Over/under goals
O1,5 ✓
O2,5
1,63
U2,5 ✓
2,24
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.