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2. Bundesliga
Sandhausen
S T T T S
1–6
Full-time
Darmstadt
U S T S 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 Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,2
1,7
Over 2.5 Ø 75%
67%
83%
Both score Ø 67%
67%
67%
Average goals
2,7
3,7
Scored
1,2
2,5
Conceded
1,5
1,2
Goal diff per game
-0,3
+1,3
This season — 2. Bundesliga · 8/8 matches
Win Ø 32%
25%
38%
Points per game
0,9
1,3
Over 2.5 Ø 69%
63%
75%
Both score Ø 50%
50%
50%
Average goals
2,6
3,4
Scored
0,9
1,9
Conceded
1,8
1,5
Goal diff per game
-0,9
+0,4
🔒 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: 1–2

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

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
3,26
U
3,65
B ✓
2,08
Over/under goals
O1,5 ✓
O2,5 ✓
1,67
U2,5
2,20
O3,5 ✓
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.