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2. Bundesliga
Bochum
S U T S U
1–1
Full-time
Osnabruck
T U U U S

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 Osnabruck
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
1,0
Over 2.5 Ø 50%
83%
17%
Both score Ø 59%
100%
17%
Average goals
4,0
1,7
Scored
2,2
0,7
Conceded
1,8
1,0
Goal diff per game
+0,3
-0,3
This season — 2. Bundesliga · 13/13 matches
Win Ø 23%
15%
31%
Points per game
1,0
1,2
Over 2.5 Ø 54%
77%
31%
Both score Ø 58%
92%
23%
Average goals
3,8
2,0
Scored
1,8
1,1
Conceded
2,0
0,9
Goal diff per game
-0,2
+0,2
🔒 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: 1–1

17 Shots 22
7 Shots on target 7
4 Corners 7
19 Free kicks against 8
1 Yellow cards 2
0 Red cards 0
The table before the match Bochum 16. · Osnabruck 9.
# Team K V U T +/− P
1 Bielefeld 13 8 4 1 +15 28
2 Hamburg 13 7 5 1 +18 26
3 Stuttgart 13 7 2 4 +2 23
4 Heidenheim 13 5 5 3 +7 20
5 Erzgebirge Aue 13 5 5 3 +1 20
6 Greuther Furth 13 5 3 5 -2 18
7 Regensburg 13 4 5 4 +4 17
8 Sandhausen 13 4 5 4 +0 17
9 Osnabruck 13 4 4 5 +2 16
10 Karlsruhe 13 3 7 3 -2 16
11 St Pauli 13 3 6 4 +0 15
12 Holstein Kiel 13 4 3 6 -3 15
13 Darmstadt 13 3 6 4 -4 15
14 Nurnberg 13 3 5 5 -6 14
15 Hannover 13 3 5 5 -8 14
16 Bochum 13 2 7 4 -2 13
17 Dresden 13 3 3 7 -10 12
18 Wehen 13 2 4 7 -12 10

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
1,95
U ✓
3,62
B
3,65
Over/under goals
O1,5 ✓
O2,5
1,66
U2,5 ✓
2,21
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.