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2. Bundesliga
Hamburg
T U U S S
2–2
Full-time
Nurnberg
S U 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 Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 59%
67%
50%
Average goals
2,7
2,3
Scored
1,5
1,5
Conceded
1,2
0,8
Goal diff per game
+0,3
+0,7
This season — 2. Bundesliga · 7/7 matches
Win Ø 43%
43%
43%
Points per game
1,7
1,9
Over 2.5 Ø 50%
57%
43%
Both score Ø 57%
71%
43%
Average goals
2,9
2,0
Scored
1,7
1,3
Conceded
1,1
0,7
Goal diff per game
+0,6
+0,6
🔒 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: 1–1

16 Shots 8
6 Shots on target 3
12 Corners 3
12 Free kicks against 9
3 Yellow cards 2
0 Red cards 0
The table before the match Hamburg 7. · Nurnberg 5.
# Team K V U T +/− P
1 Regensburg 8 5 2 1 +10 17
2 St Pauli 8 5 1 2 +8 16
3 Heidenheim 8 4 3 1 +4 15
4 Paderborn 8 4 2 2 +9 14
5 Nurnberg 7 3 4 0 +4 13
6 Schalke 04 8 4 1 3 +2 13
7 Hamburg 7 3 3 1 +4 12
8 Karlsruhe 8 3 3 2 +3 12
9 Werder Bremen 7 3 2 2 +2 11
10 Fortuna Dusseldorf 8 3 2 3 -1 11
11 Darmstadt 8 3 1 4 +3 10
12 Dresden 7 3 1 3 +2 10
13 Hannover 7 3 1 3 -4 10
14 Holstein Kiel 8 2 2 4 -8 8
15 Hansa Rostock 8 2 1 5 -6 7
16 Sandhausen 7 1 1 5 -8 4
17 Ingolstadt 8 1 1 6 -14 4
18 Erzgebirge Aue 8 0 3 5 -10 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
1,97
U ✓
3,58
B
3,62
Over/under goals
O1,5 ✓
O2,5 ✓
1,67
U2,5
2,19
O3,5 ✓
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.