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2. Bundesliga
1–2
Full-time
Sandhausen
U T U S 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

Greuther Furth Sandhausen
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,2
1,5
Over 2.5 Ø 42%
17%
67%
Both score Ø 67%
67%
67%
Average goals
2,3
3,5
Scored
1,2
1,8
Conceded
1,2
1,7
Goal diff per game
+0,0
+0,2
This season — 2. Bundesliga · 28/29 matches
Win Ø 32%
36%
28%
Points per game
1,4
1,2
Over 2.5 Ø 40%
46%
34%
Both score Ø 55%
54%
55%
Average goals
2,8
2,5
Scored
1,4
1,2
Conceded
1,4
1,3
Goal diff per game
+0,1
-0,1
🔒 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: 0–2

13 Shots 10
3 Shots on target 3
4 Corners 3
12 Free kicks against 21
2 Yellow cards 2
0 Red cards 0
The table before the match Greuther Furth 7. · Sandhausen 11.
# Team K V U T +/− P
1 Bielefeld 28 15 11 2 +27 56
2 Stuttgart 29 15 6 8 +14 51
3 Hamburg 29 13 10 6 +20 49
4 Heidenheim 29 13 9 7 +9 48
5 Darmstadt 29 10 13 6 +4 43
6 Hannover 29 10 9 10 +0 39
7 Greuther Furth 28 10 8 10 +2 38
8 Holstein Kiel 29 10 8 11 -1 38
9 Erzgebirge Aue 29 10 8 11 -3 38
10 Bochum 29 8 12 9 -1 36
11 Sandhausen 29 8 12 9 -2 36
12 Regensburg 29 9 9 11 -6 36
13 St Pauli 29 8 11 10 -2 35
14 Osnabruck 29 8 10 11 -3 34
15 Nurnberg 29 7 11 11 -12 32
16 Karlsruhe 29 6 12 11 -11 30
17 Wehen 29 7 7 15 -14 28
18 Dresden 27 6 6 15 -21 24

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
2,53
U
3,28
B ✓
2,75
Over/under goals
O1,5 ✓
O2,5 ✓
1,92
U2,5
1,88
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.