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

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

Dresden Sandhausen
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,5
1,5
Over 2.5 Ø 42%
50%
33%
Both score Ø 59%
50%
67%
Average goals
2,3
2,2
Scored
0,7
1,2
Conceded
1,7
1,0
Goal diff per game
-1,0
+0,2
This season — 2. Bundesliga · 15/15 matches
Win Ø 27%
20%
33%
Points per game
0,8
1,4
Over 2.5 Ø 44%
60%
27%
Both score Ø 57%
60%
53%
Average goals
2,9
2,2
Scored
1,1
1,1
Conceded
1,9
1,1
Goal diff per game
-0,8
+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: 1–1

15 Shots 18
7 Shots on target 7
5 Corners 4
13 Free kicks against 13
4 Yellow cards 2
0 Red cards 0
The table before the match Dresden 18. · Sandhausen 8.
# Team K V U T +/− P
1 Bielefeld 16 9 6 1 +17 33
2 Hamburg 16 8 5 3 +17 29
3 Heidenheim 16 7 5 4 +7 26
4 Stuttgart 15 8 2 5 +4 26
5 Osnabruck 16 6 5 5 +5 23
6 Erzgebirge Aue 16 6 5 5 +0 23
7 Greuther Furth 16 6 4 6 -1 22
8 Sandhausen 15 5 6 4 +1 21
9 Holstein Kiel 16 6 3 7 -1 21
10 Regensburg 15 5 5 5 +3 20
11 Karlsruhe 16 4 8 4 -2 20
12 Hannover 16 5 5 6 -7 20
13 Darmstadt 15 4 6 5 -5 18
14 Bochum 16 3 8 5 -2 17
15 St Pauli 15 3 6 6 -3 15
16 Nurnberg 15 3 6 6 -8 15
17 Wehen 15 3 4 8 -13 13
18 Dresden 15 3 3 9 -12 12

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
2,58
U ✓
3,29
B
2,67
Over/under goals
O1,5 ✓
O2,5
1,86
U2,5 ✓
1,93
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.