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2. Bundesliga
Osnabruck
T T U U U
1–0
Full-time
Stuttgart
S T T T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Osnabruck Stuttgart
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,7
1,5
Over 2.5 Ø 34%
17%
50%
Both score Ø 42%
33%
50%
Average goals
1,8
3,2
Scored
0,7
1,5
Conceded
1,2
1,7
Goal diff per game
-0,5
-0,2
This season — 2. Bundesliga · 12/12 matches
Win Ø 42%
25%
58%
Points per game
1,1
1,9
Over 2.5 Ø 50%
33%
67%
Both score Ø 46%
25%
67%
Average goals
2,1
3,1
Scored
1,1
1,7
Conceded
1,0
1,4
Goal diff per game
+0,1
+0,3
🔒 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 21
3 Shots on target 6
1 Corners 8
11 Free kicks against 22
1 Yellow cards 3
0 Red cards 0
The table before the match Osnabruck 15. · Stuttgart 3.
# Team K V U T +/− P
1 Hamburg 12 7 4 1 +18 25
2 Bielefeld 12 7 4 1 +11 25
3 Stuttgart 12 7 2 3 +3 23
4 Erzgebirge Aue 12 5 4 3 +1 19
5 Greuther Furth 12 5 3 4 -1 18
6 Heidenheim 12 4 5 3 +3 17
7 Regensburg 12 4 4 4 +4 16
8 St Pauli 13 3 6 4 +0 15
9 Karlsruhe 12 3 6 3 -2 15
10 Sandhausen 12 3 5 4 -1 14
11 Nurnberg 12 3 5 4 -2 14
12 Holstein Kiel 12 4 2 6 -3 14
13 Hannover 12 3 5 4 -4 14
14 Darmstadt 12 3 5 4 -4 14
15 Osnabruck 12 3 4 5 +1 13
16 Bochum 13 2 7 4 -2 13
17 Dresden 13 3 3 7 -10 12
18 Wehen 13 2 4 7 -12 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 ✓
3,91
U
3,75
B
1,85
Over/under goals
U1,5 ✓
O2,5
1,62
U2,5 ✓
2,28
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.