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2. Bundesliga
Hamburg
T T S S S
3–0
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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 75%
67%
83%
Both score Ø 83%
83%
83%
Average goals
3,7
2,8
Scored
1,7
1,8
Conceded
2,0
1,0
Goal diff per game
-0,3
+0,8
This season — 2. Bundesliga · 3/3 matches
Win Ø 84%
100%
67%
Points per game
3,0
2,3
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
67%
67%
Average goals
3,7
2,7
Scored
2,3
2,0
Conceded
1,3
0,7
Goal diff per game
+1,0
+1,3
🔒 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

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

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 ✓
1,52
U
4,11
B
6,13
Over/under goals
O1,5 ✓
O2,5 ✓
1,68
U2,5
2,15
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.