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2. Bundesliga
Bochum
S U T U S
0–0
Full-time
Osnabruck
U S 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 42%
50%
33%
Points per game
1,8
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 67%
50%
83%
Average goals
2,7
3,0
Scored
1,5
1,7
Conceded
1,2
1,3
Goal diff per game
+0,3
+0,3
This season — 2. Bundesliga · 2/2 matches
Win Ø 50%
50%
50%
Points per game
2,0
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 75%
50%
100%
Average goals
2,5
2,5
Scored
1,5
1,5
Conceded
1,0
1,0
Goal diff per game
+0,5
+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: 0–0

18 Shots 12
3 Shots on target 1
3 Corners 7
8 Free kicks against 12
3 Yellow cards 3
0 Red cards 1
The table before the match Bochum 5. · Osnabruck 4.
# Team K V U T +/− P
1 Hamburg 2 2 0 0 +2 6
2 Erzgebirge Aue 2 1 1 0 +3 4
3 St Pauli 2 1 1 0 +2 4
4 Osnabruck 2 1 1 0 +1 4
5 Bochum 2 1 1 0 +1 4
6 Nurnberg 2 1 1 0 +1 4
7 Holstein Kiel 2 1 1 0 +1 4
8 Hannover 2 1 0 1 +1 3
9 Heidenheim 2 1 0 1 +0 3
10 Sandhausen 2 1 0 1 +0 3
11 Fortuna Dusseldorf 2 1 0 1 +0 3
12 Greuther Furth 2 0 2 0 +0 2
13 Regensburg 2 0 2 0 +0 2
14 Darmstadt 2 0 1 1 -1 1
15 Braunschweig 2 0 1 1 -2 1
16 Paderborn 2 0 0 2 -2 0
17 Karlsruhe 2 0 0 2 -3 0
18 Wurzburger Kickers 2 0 0 2 -4 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
2,00
U ✓
3,46
B
3,66
Over/under goals
U1,5 ✓
O2,5
1,81
U2,5 ✓
1,99
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.