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2. Bundesliga
Bochum
S S S U T
2–2
Full-time
St Pauli
T S T U T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Bochum St Pauli
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
0,8
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
33%
67%
Average goals
2,2
3,5
Scored
1,3
1,2
Conceded
0,8
2,3
Goal diff per game
+0,5
-1,2
🔒 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: 1–0

16 Shots 11
8 Shots on target 4
7 Corners 0
15 Free kicks against 12
1 Yellow cards 3
0 Red cards 0
The table before the match
# Team K V U T +/− P
1 Erzgebirge Aue 1 1 0 0 +3 3
2 Heidenheim 1 1 0 0 +2 3
3 Hannover 1 1 0 0 +2 3
4 Sandhausen 1 1 0 0 +1 3
5 Hamburg 1 1 0 0 +1 3
6 Holstein Kiel 1 1 0 0 +1 3
7 Greuther Furth 1 0 1 0 +0 1
8 Osnabruck 1 0 1 0 +0 1
9 Regensburg 1 0 1 0 +0 1
10 Nurnberg 1 0 1 0 +0 1
11 Darmstadt 1 0 0 1 -1 0
12 Fortuna Dusseldorf 1 0 0 1 -1 0
13 Paderborn 1 0 0 1 -1 0
14 Braunschweig 1 0 0 1 -2 0
15 Karlsruhe 1 0 0 1 -2 0
16 Wurzburger Kickers 1 0 0 1 -3 0

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
1,89
U ✓
3,59
B
3,86
Over/under goals
O1,5 ✓
O2,5 ✓
1,83
U2,5
1,96
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.