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

Greuther Furth Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,3
1,7
Over 2.5 Ø 42%
33%
50%
Both score Ø 59%
67%
50%
Average goals
3,0
2,7
Scored
1,5
1,3
Conceded
1,5
1,3
Goal diff per game
+0,0
+0,0
This season — 2. Bundesliga · 25/25 matches
Win Ø 44%
40%
48%
Points per game
1,4
1,8
Over 2.5 Ø 50%
48%
52%
Both score Ø 56%
52%
60%
Average goals
2,8
3,0
Scored
1,5
1,9
Conceded
1,3
1,1
Goal diff per game
+0,2
+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: 1–1

14 Shots 11
5 Shots on target 8
6 Corners 4
14 Free kicks against 14
2 Yellow cards 3
0 Red cards 0
The table before the match Greuther Furth 6. · Hamburg 3.
# Team K V U T +/− P
1 Bielefeld 25 14 9 2 +26 51
2 Stuttgart 25 13 6 6 +13 45
3 Hamburg 25 12 8 5 +20 44
4 Heidenheim 26 11 8 7 +5 41
5 Erzgebirge Aue 26 10 7 9 +2 37
6 Greuther Furth 25 10 6 9 +4 36
7 Darmstadt 26 8 12 6 -2 36
8 Holstein Kiel 26 9 8 9 +0 35
9 Regensburg 26 9 6 11 -6 33
10 Hannover 25 8 8 9 -3 32
11 Bochum 26 7 10 9 -2 31
12 St Pauli 25 7 9 9 +1 30
13 Osnabruck 25 7 8 10 -3 29
14 Sandhausen 26 6 11 9 -5 29
15 Nurnberg 25 7 8 10 -11 29
16 Karlsruhe 26 6 9 11 -11 27
17 Wehen 25 6 7 12 -12 25
18 Dresden 25 6 6 13 -16 24

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
4,10
U ✓
3,60
B
1,84
Over/under goals
O1,5 ✓
O2,5 ✓
1,73
U2,5
2,09
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.