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2. Bundesliga
Stuttgart
T S T S T
3–1
Full-time
Nurnberg
U T T U T

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

Stuttgart Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,0
0,3
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
50%
67%
Average goals
3,3
3,5
Scored
1,5
1,0
Conceded
1,8
2,5
Goal diff per game
-0,3
-1,5
This season — 2. Bundesliga · 15/15 matches
Win Ø 37%
53%
20%
Points per game
1,7
1,0
Over 2.5 Ø 60%
67%
53%
Both score Ø 60%
60%
60%
Average goals
2,9
3,3
Scored
1,6
1,4
Conceded
1,3
1,9
Goal diff per game
+0,3
-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: 0–1

14 Shots 10
6 Shots on target 1
7 Corners 3
10 Free kicks against 12
2 Yellow cards 1
0 Red cards 0
The table before the match Stuttgart 4. · Nurnberg 16.
# Team K V U T +/− P
1 Bielefeld 16 9 6 1 +17 33
2 Hamburg 16 8 5 3 +17 29
3 Heidenheim 16 7 5 4 +7 26
4 Stuttgart 15 8 2 5 +4 26
5 Osnabruck 16 6 5 5 +5 23
6 Regensburg 16 6 5 5 +4 23
7 Erzgebirge Aue 16 6 5 5 +0 23
8 Sandhausen 16 5 7 4 +1 22
9 Greuther Furth 16 6 4 6 -1 22
10 Holstein Kiel 16 6 3 7 -1 21
11 Karlsruhe 16 4 8 4 -2 20
12 Hannover 16 5 5 6 -7 20
13 Darmstadt 16 4 7 5 -5 19
14 Bochum 16 3 8 5 -2 17
15 St Pauli 16 3 6 7 -4 15
16 Nurnberg 15 3 6 6 -8 15
17 Wehen 16 3 5 8 -13 14
18 Dresden 16 3 4 9 -12 13

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 ✓
1,68
U
3,84
B
4,71
Over/under goals
O1,5 ✓
O2,5 ✓
1,57
U2,5
2,36
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.