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2. Bundesliga
Stuttgart
U S U S S
2–0
Full-time
Regensburg
S S 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

Stuttgart Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,5
Over 2.5 Ø 42%
50%
33%
Both score Ø 34%
50%
17%
Average goals
2,5
2,7
Scored
1,8
0,8
Conceded
0,7
1,8
Goal diff per game
+1,2
-1,0
This season — 2. Bundesliga · 22/22 matches
Win Ø 48%
55%
41%
Points per game
1,9
1,5
Over 2.5 Ø 62%
64%
59%
Both score Ø 59%
59%
59%
Average goals
2,9
3,2
Scored
1,7
1,5
Conceded
1,1
1,6
Goal diff per game
+0,6
-0,1
🔒 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: 0–0

16 Shots 10
7 Shots on target 2
5 Corners 7
15 Free kicks against 15
3 Yellow cards 3
0 Red cards 0
The table before the match Stuttgart 3. · Regensburg 7.
# Team K V U T +/− P
1 Bielefeld 22 12 8 2 +24 44
2 Hamburg 22 11 8 3 +24 41
3 Stuttgart 22 12 5 5 +13 41
4 Heidenheim 22 9 8 5 +7 35
5 Holstein Kiel 22 9 6 7 +3 33
6 Greuther Furth 23 9 5 9 +2 32
7 Regensburg 22 9 5 8 -2 32
8 Erzgebirge Aue 23 8 7 8 -2 31
9 Osnabruck 23 7 8 8 +3 29
10 Darmstadt 22 6 11 5 -3 29
11 Sandhausen 22 6 9 7 -1 27
12 Hannover 22 6 8 8 -7 26
13 Nurnberg 22 6 8 8 -8 26
14 St Pauli 22 5 8 9 -3 23
15 Bochum 22 5 8 9 -6 23
16 Wehen 23 5 7 11 -15 22
17 Karlsruhe 22 4 9 9 -12 21
18 Dresden 22 4 6 12 -17 18

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 ✓
1,34
U
5,15
B
8,22
Over/under goals
O1,5 ✓
O2,5
1,44
U2,5 ✓
2,70
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.