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2. Bundesliga
Stuttgart
S S T T T
3–1
Full-time
Dresden
S T T T 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 Dresden
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,5
0,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
50%
50%
Average goals
3,3
2,8
Scored
1,5
0,8
Conceded
1,8
2,0
Goal diff per game
-0,3
-1,2
This season — 2. Bundesliga · 11/11 matches
Win Ø 37%
55%
18%
Points per game
1,8
0,8
Over 2.5 Ø 60%
64%
55%
Both score Ø 60%
64%
55%
Average goals
3,0
3,0
Scored
1,5
1,1
Conceded
1,5
1,9
Goal diff per game
+0,1
-0,8
🔒 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

16 Shots 10
5 Shots on target 4
6 Corners 1
10 Free kicks against 11
2 Yellow cards 3
0 Red cards 0
The table before the match Stuttgart 3. · Dresden 17.
# Team K V U T +/− P
1 Hamburg 11 7 3 1 +18 24
2 Bielefeld 11 6 4 1 +10 22
3 Stuttgart 11 6 2 3 +1 20
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 Karlsruhe 12 3 6 3 -2 15
9 Nurnberg 11 3 5 3 +0 14
10 St Pauli 12 3 5 4 +0 14
11 Sandhausen 12 3 5 4 -1 14
12 Holstein Kiel 11 4 2 5 -2 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 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 11 2 3 6 -11 9

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 ✓
1,47
U
4,42
B
6,27
Over/under goals
O1,5 ✓
O2,5 ✓
1,50
U2,5
2,52
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.