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

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 Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,7
1,3
Over 2.5 Ø 59%
50%
67%
Both score Ø 75%
67%
83%
Average goals
2,5
3,2
Scored
1,5
1,5
Conceded
1,0
1,7
Goal diff per game
+0,5
-0,2
This season — 2. Bundesliga · 9/9 matches
Win Ø 33%
33%
33%
Points per game
1,6
1,2
Over 2.5 Ø 56%
56%
56%
Both score Ø 73%
78%
67%
Average goals
2,9
3,1
Scored
1,7
1,4
Conceded
1,2
1,7
Goal diff per game
+0,4
-0,2
🔒 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 7
7 Shots on target 2
10 Corners 4
13 Free kicks against 10
2 Yellow cards 1
0 Red cards 1
The table before the match Hamburg 8. · Fortuna Dusseldorf 12.
# Team K V U T +/− P
1 St Pauli 10 7 1 2 +13 22
2 Regensburg 10 5 4 1 +10 19
3 Schalke 04 10 6 1 3 +6 19
4 Paderborn 10 5 3 2 +10 18
5 Karlsruhe 10 4 4 2 +4 16
6 Nurnberg 9 3 6 0 +4 15
7 Heidenheim 10 4 3 3 -1 15
8 Hamburg 9 3 5 1 +4 14
9 Werder Bremen 9 4 2 3 +2 14
10 Darmstadt 9 4 1 4 +8 13
11 Dresden 9 4 1 4 +2 13
12 Fortuna Dusseldorf 9 3 2 4 -2 11
13 Hannover 10 3 2 5 -6 11
14 Hansa Rostock 9 3 1 5 -4 10
15 Holstein Kiel 10 2 3 5 -10 9
16 Sandhausen 9 2 1 6 -12 7
17 Ingolstadt 10 1 2 7 -17 5
18 Erzgebirge Aue 10 0 4 6 -11 4

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
1,84
U ✓
3,73
B
3,92
Over/under goals
O1,5 ✓
O2,5
1,58
U2,5 ✓
2,34
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.