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

Osnabruck Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,2
2,0
Over 2.5 Ø 25%
17%
33%
Both score Ø 58%
33%
83%
Average goals
1,7
3,2
Scored
0,8
2,2
Conceded
0,8
1,0
Goal diff per game
+0,0
+1,2
This season — 2. Bundesliga · 14/14 matches
Win Ø 43%
29%
57%
Points per game
1,2
2,1
Over 2.5 Ø 40%
29%
50%
Both score Ø 43%
29%
57%
Average goals
2,0
3,2
Scored
1,1
2,3
Conceded
0,9
0,9
Goal diff per game
+0,1
+1,4
🔒 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: 2–0

19 Shots 18
7 Shots on target 6
5 Corners 8
6 Free kicks against 5
1 Yellow cards 1
0 Red cards 0
The table before the match Osnabruck 11. · Hamburg 1.
# Team K V U T +/− P
1 Hamburg 14 8 5 1 +19 29
2 Bielefeld 14 8 5 1 +15 29
3 Stuttgart 14 8 2 4 +5 26
4 Erzgebirge Aue 14 6 5 3 +3 23
5 Regensburg 14 5 5 4 +6 20
6 Heidenheim 14 5 5 4 +5 20
7 Greuther Furth 14 5 4 5 -2 19
8 Holstein Kiel 14 5 3 6 +0 18
9 Sandhausen 14 4 6 4 +0 18
10 Darmstadt 14 4 6 4 -3 18
11 Osnabruck 14 4 5 5 +2 17
12 Karlsruhe 14 3 7 4 -5 16
13 St Pauli 14 3 6 5 -2 15
14 Nurnberg 14 3 6 5 -6 15
15 Bochum 14 2 8 4 -2 14
16 Hannover 14 3 5 6 -9 14
17 Dresden 14 3 3 8 -11 12
18 Wehen 14 2 4 8 -15 10

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 ✓
4,81
U
3,87
B
1,68
Over/under goals
O1,5 ✓
O2,5 ✓
1,82
U2,5
1,99
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.