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2. Bundesliga
0–1
Full-time
Hamburg
U T T S 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 25%
0%
50%
Points per game
0,8
1,7
Over 2.5 Ø 59%
50%
67%
Both score Ø 83%
83%
83%
Average goals
2,5
3,7
Scored
1,2
1,7
Conceded
1,3
2,0
Goal diff per game
-0,2
-0,3
This season — 2. Bundesliga · 3/2 matches
Win Ø 50%
0%
100%
Points per game
1,0
3,0
Over 2.5 Ø 67%
33%
100%
Both score Ø 100%
100%
100%
Average goals
2,7
5,0
Scored
1,3
3,0
Conceded
1,3
2,0
Goal diff per game
+0,0
+1,0
🔒 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: 0–1

19 Shots 9
6 Shots on target 4
6 Corners 7
22 Free kicks against 14
5 Yellow cards 1
0 Red cards 1
The table before the match Greuther Furth 13. · Hamburg 3.
# Team K V U T +/− P
1 Holstein Kiel 3 2 1 0 +2 7
2 Hannover 3 2 0 1 +4 6
3 Hamburg 2 2 0 0 +2 6
4 Sandhausen 3 2 0 1 +1 6
5 Osnabruck 3 1 2 0 +1 5
6 Bochum 3 1 2 0 +1 5
7 Regensburg 3 1 2 0 +1 5
8 Erzgebirge Aue 2 1 1 0 +3 4
9 St Pauli 3 1 1 1 +1 4
10 Darmstadt 3 1 1 1 +0 4
11 Heidenheim 3 1 1 1 +0 4
12 Nurnberg 3 1 1 1 +0 4
13 Greuther Furth 3 0 3 0 +0 3
14 Fortuna Dusseldorf 3 1 0 2 -1 3
15 Paderborn 3 0 1 2 -2 1
16 Wurzburger Kickers 3 0 1 2 -4 1
17 Braunschweig 3 0 1 2 -5 1
18 Karlsruhe 3 0 0 3 -4 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
3,71
U
3,63
B ✓
1,93
Over/under goals
U1,5 ✓
O2,5
1,68
U2,5 ✓
2,16
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.