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2. Bundesliga
Stuttgart
S T U T T
3–2
Full-time
Hamburg
T T S U 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

Stuttgart Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
1,0
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
50%
50%
Average goals
2,5
2,3
Scored
1,2
0,8
Conceded
1,3
1,5
Goal diff per game
-0,2
-0,7
This season — 2. Bundesliga · 27/27 matches
Win Ø 46%
48%
44%
Points per game
1,7
1,7
Over 2.5 Ø 56%
59%
52%
Both score Ø 59%
59%
59%
Average goals
2,9
3,0
Scored
1,6
1,9
Conceded
1,2
1,1
Goal diff per game
+0,4
+0,7
🔒 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: 0–2

13 Shots 9
7 Shots on target 4
5 Corners 4
15 Free kicks against 14
3 Yellow cards 2
0 Red cards 0
The table before the match Stuttgart 3. · Hamburg 2.
# Team K V U T +/− P
1 Bielefeld 27 14 11 2 +26 53
2 Hamburg 27 12 10 5 +20 46
3 Stuttgart 27 13 6 8 +11 45
4 Heidenheim 28 12 9 7 +6 45
5 Darmstadt 28 10 12 6 +4 42
6 Holstein Kiel 28 10 8 10 +0 38
7 Erzgebirge Aue 28 10 8 10 +0 38
8 Greuther Furth 27 10 7 10 +2 37
9 Hannover 27 9 9 9 -1 36
10 Bochum 28 8 11 9 -1 35
11 Regensburg 28 9 8 11 -6 35
12 St Pauli 28 8 10 10 -2 34
13 Osnabruck 28 8 9 11 -3 33
14 Sandhausen 28 7 12 9 -4 33
15 Nurnberg 28 7 10 11 -12 31
16 Karlsruhe 28 6 11 11 -11 29
17 Wehen 28 7 7 14 -13 28
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 ✓
2,25
U
3,34
B
3,09
Over/under goals
O1,5 ✓
O2,5 ✓
1,74
U2,5
2,07
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.