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2. Bundesliga
Bochum
S T S S T
3–0
Full-time
Paderborn
S S S 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

Bochum Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,0
1,7
Over 2.5 Ø 50%
67%
33%
Both score Ø 42%
50%
33%
Average goals
3,7
2,5
Scored
2,3
1,7
Conceded
1,3
0,8
Goal diff per game
+1,0
+0,8
This season — 2. Bundesliga · 10/10 matches
Win Ø 45%
50%
40%
Points per game
1,7
1,4
Over 2.5 Ø 45%
60%
30%
Both score Ø 40%
50%
30%
Average goals
3,0
2,4
Scored
1,8
1,4
Conceded
1,2
1,0
Goal diff per game
+0,6
+0,4
🔒 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

17 Shots 11
9 Shots on target 4
6 Corners 5
12 Free kicks against 12
2 Yellow cards 1
0 Red cards 0
The table before the match Bochum 3. · Paderborn 10.
# Team K V U T +/− P
1 Holstein Kiel 10 5 4 1 +7 19
2 Greuther Furth 10 5 3 2 +8 18
3 Bochum 10 5 2 3 +6 17
4 Hamburg 10 5 2 3 +4 17
5 Karlsruhe 10 5 1 4 +5 16
6 Osnabruck 10 4 4 2 +1 16
7 Heidenheim 10 4 3 3 +3 15
8 Erzgebirge Aue 10 4 3 3 +3 15
9 Regensburg 10 4 3 3 +1 15
10 Paderborn 10 4 2 4 +4 14
11 Fortuna Dusseldorf 10 4 2 4 -6 14
12 Nurnberg 10 3 4 3 +3 13
13 Hannover 10 4 1 5 +0 13
14 Darmstadt 10 3 3 4 -3 12
15 Sandhausen 10 3 2 5 -6 11
16 Braunschweig 10 3 2 5 -11 11
17 St Pauli 10 1 4 5 -6 7
18 Wurzburger Kickers 10 1 1 8 -13 4

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 ✓
2,22
U
3,45
B
3,09
Over/under goals
O1,5 ✓
O2,5 ✓
1,58
U2,5
2,34
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.