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2. Bundesliga
0–1
Full-time
Sandhausen
T T T U U

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

Fortuna Dusseldorf Sandhausen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 75%
67%
83%
Average goals
2,2
3,5
Scored
1,0
1,3
Conceded
1,2
2,2
Goal diff per game
-0,2
-0,8
This season — 2. Bundesliga · 17/17 matches
Win Ø 24%
29%
18%
Points per game
1,2
0,8
Over 2.5 Ø 56%
47%
65%
Both score Ø 71%
71%
71%
Average goals
2,8
3,2
Scored
1,4
1,1
Conceded
1,4
2,1
Goal diff per game
-0,1
-1,0
🔒 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: 0–1

14 Shots 4
3 Shots on target 1
10 Corners 3
10 Free kicks against 8
0 Yellow cards 0
0 Red cards 0
The table before the match Fortuna Dusseldorf 12. · Sandhausen 17.
# Team K V U T +/− P
1 St Pauli 17 11 3 3 +17 36
2 Darmstadt 17 10 2 5 +19 32
3 Hamburg 17 7 8 2 +13 29
4 Schalke 04 17 9 2 6 +11 29
5 Regensburg 17 8 4 5 +9 28
6 Paderborn 17 7 6 4 +11 27
7 Nurnberg 17 7 6 4 +4 27
8 Heidenheim 17 8 3 6 -2 27
9 Werder Bremen 17 7 5 5 +4 26
10 Karlsruhe 17 6 6 5 +3 24
11 Dresden 17 7 1 9 -2 22
12 Fortuna Dusseldorf 17 5 5 7 -1 20
13 Hannover 17 5 5 7 -10 20
14 Hansa Rostock 17 5 4 8 -10 19
15 Holstein Kiel 17 4 6 7 -10 18
16 Erzgebirge Aue 17 3 5 9 -13 14
17 Sandhausen 17 3 5 9 -17 14
18 Ingolstadt 17 1 4 12 -26 7

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
1,61
U
4,10
B ✓
5,20
Over/under goals
U1,5 ✓
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.