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2. Bundesliga
St Pauli
S S S U T
3–1
Full-time
Sandhausen
T U U S 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

St Pauli Sandhausen
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,3
Over 2.5 Ø 75%
83%
67%
Both score Ø 67%
50%
83%
Average goals
3,8
3,3
Scored
2,5
1,3
Conceded
1,3
2,0
Goal diff per game
+1,2
-0,7
This season — 2. Bundesliga · 13/13 matches
Win Ø 43%
62%
23%
Points per game
2,0
0,9
Over 2.5 Ø 66%
69%
62%
Both score Ø 54%
46%
62%
Average goals
3,3
2,9
Scored
2,2
1,0
Conceded
1,2
1,9
Goal diff per game
+1,0
-0,9
🔒 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

20 Shots 5
9 Shots on target 2
8 Corners 2
10 Free kicks against 11
1 Yellow cards 3
0 Red cards 0
The table before the match St Pauli 2. · Sandhausen 17.
# Team K V U T +/− P
1 Darmstadt 14 8 2 4 +19 26
2 St Pauli 13 8 2 3 +13 26
3 Paderborn 14 7 4 3 +12 25
4 Regensburg 14 7 4 3 +11 25
5 Nurnberg 14 6 6 2 +7 24
6 Hamburg 14 5 8 1 +8 23
7 Schalke 04 14 7 2 5 +6 23
8 Heidenheim 14 6 3 5 -5 21
9 Werder Bremen 14 5 5 4 +0 20
10 Karlsruhe 14 4 6 4 +0 18
11 Hansa Rostock 14 5 2 7 -7 17
12 Fortuna Dusseldorf 14 4 4 6 -2 16
13 Dresden 14 5 1 8 -3 16
14 Erzgebirge Aue 14 3 5 6 -7 14
15 Hannover 14 3 5 6 -8 14
16 Holstein Kiel 14 3 5 6 -10 14
17 Sandhausen 13 3 3 7 -12 12
18 Ingolstadt 14 1 3 10 -22 6

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 ✓
1,36
U
5,13
B
7,39
Over/under goals
O1,5 ✓
O2,5 ✓
1,47
U2,5
2,64
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.