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2. Bundesliga
Sandhausen
T S T T T
3–0
Full-time
Osnabruck
T T T 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

Sandhausen Osnabruck
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,7
0,0
Over 2.5 Ø 50%
67%
33%
Both score Ø 58%
83%
33%
Average goals
3,0
1,7
Scored
1,3
0,3
Conceded
1,7
1,3
Goal diff per game
-0,3
-1,0
This season — 2. Bundesliga · 22/22 matches
Win Ø 25%
23%
27%
Points per game
0,8
1,0
Over 2.5 Ø 59%
68%
50%
Both score Ø 55%
55%
55%
Average goals
3,1
2,5
Scored
1,1
1,0
Conceded
2,0
1,5
Goal diff per game
-0,9
-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: 1–0

13 Shots 7
4 Shots on target 4
5 Corners 4
15 Free kicks against 14
1 Yellow cards 1
0 Red cards 1
The table before the match Sandhausen 17. · Osnabruck 15.
# Team K V U T +/− P
1 Bochum 23 14 3 6 +20 45
2 Holstein Kiel 23 13 6 4 +16 45
3 Greuther Furth 23 12 7 4 +18 43
4 Hamburg 22 12 6 4 +20 42
5 Karlsruhe 23 12 3 8 +7 39
6 Fortuna Dusseldorf 22 10 6 6 +3 36
7 Hannover 23 10 4 9 +8 34
8 Heidenheim 22 9 6 7 +3 33
9 Erzgebirge Aue 23 9 5 9 +0 32
10 Paderborn 23 8 7 8 +1 31
11 Regensburg 23 7 8 8 -4 29
12 St Pauli 22 7 7 8 -4 28
13 Nurnberg 22 7 5 10 -5 26
14 Darmstadt 23 7 4 12 -6 25
15 Osnabruck 22 6 4 12 -12 22
16 Braunschweig 22 5 5 12 -22 20
17 Sandhausen 22 5 3 14 -19 18
18 Wurzburger Kickers 23 4 3 16 -24 15

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 ✓
2,14
U
3,29
B
3,39
Over/under goals
O1,5 ✓
O2,5 ✓
1,95
U2,5
1,83
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.