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

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

Erzgebirge Aue Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,2
1,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
67%
67%
Average goals
3,3
3,0
Scored
0,8
1,7
Conceded
2,5
1,3
Goal diff per game
-1,7
+0,3
This season — 2. Bundesliga · 8/8 matches
Win Ø 19%
0%
38%
Points per game
0,4
1,6
Over 2.5 Ø 57%
50%
63%
Both score Ø 63%
50%
75%
Average goals
2,5
3,0
Scored
0,6
1,8
Conceded
1,9
1,3
Goal diff per game
-1,3
+0,5
🔒 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

10 Shots 9
3 Shots on target 2
3 Corners 7
11 Free kicks against 13
2 Yellow cards 3
1 Red cards 0
The table before the match Erzgebirge Aue 18. · Hamburg 7.
# 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 8 3 5 0 +4 14
6 Dresden 8 4 1 3 +5 13
7 Hamburg 8 3 4 1 +4 13
8 Schalke 04 8 4 1 3 +2 13
9 Karlsruhe 8 3 3 2 +3 12
10 Werder Bremen 8 3 2 3 -1 11
11 Fortuna Dusseldorf 8 3 2 3 -1 11
12 Darmstadt 8 3 1 4 +3 10
13 Hannover 8 3 1 4 -5 10
14 Holstein Kiel 8 2 2 4 -8 8
15 Hansa Rostock 8 2 1 5 -6 7
16 Sandhausen 8 2 1 5 -7 7
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
5,27
U ✓
4,41
B
1,56
Over/under goals
O1,5 ✓
O2,5
1,47
U2,5 ✓
2,65
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.