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2. Bundesliga
St Pauli
S U T U T
2–2
Full-time
Paderborn
U T T 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 Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
0,8
Over 2.5 Ø 67%
83%
50%
Both score Ø 83%
83%
83%
Average goals
3,3
3,0
Scored
1,5
1,3
Conceded
1,8
1,7
Goal diff per game
-0,3
-0,3
This season — 2. Bundesliga · 20/20 matches
Win Ø 48%
55%
40%
Points per game
1,9
1,5
Over 2.5 Ø 70%
75%
65%
Both score Ø 68%
60%
75%
Average goals
3,4
3,1
Scored
2,0
1,8
Conceded
1,4
1,3
Goal diff per game
+0,7
+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: 2–1

8 Shots 14
3 Shots on target 5
2 Corners 4
9 Free kicks against 10
1 Yellow cards 1
0 Red cards 0
The table before the match St Pauli 4. · Paderborn 9.
# Team K V U T +/− P
1 Darmstadt 20 12 3 5 +23 39
2 Werder Bremen 21 11 5 5 +12 38
3 Schalke 04 21 11 4 6 +17 37
4 St Pauli 20 11 4 5 +13 37
5 Heidenheim 21 11 4 6 +2 37
6 Hamburg 20 8 10 2 +14 34
7 Nurnberg 21 9 6 6 +1 33
8 Regensburg 21 9 4 8 +8 31
9 Paderborn 20 8 6 6 +10 30
10 Karlsruhe 20 6 8 6 +2 26
11 Holstein Kiel 20 6 7 7 -6 25
12 Dresden 20 7 3 10 -5 24
13 Hannover 21 6 6 9 -14 24
14 Hansa Rostock 20 5 6 9 -11 21
15 Fortuna Dusseldorf 20 5 5 10 -6 20
16 Sandhausen 20 5 5 10 -17 20
17 Erzgebirge Aue 21 3 6 12 -22 15
18 Ingolstadt 21 3 4 14 -21 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
1,73
U ✓
3,95
B
4,35
Over/under goals
O1,5 ✓
O2,5 ✓
1,55
U2,5
2,39
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.