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2. Bundesliga
Sandhausen
T U T U T
1–4
Full-time

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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,3
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
50%
33%
Average goals
2,3
2,2
Scored
0,8
1,0
Conceded
1,5
1,2
Goal diff per game
-0,7
-0,2
This season — 2. Bundesliga · 8/8 matches
Win Ø 32%
25%
38%
Points per game
1,0
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 44%
50%
38%
Average goals
2,5
2,3
Scored
1,0
1,3
Conceded
1,5
1,0
Goal diff per game
-0,5
+0,3
🔒 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

14 Shots 16
3 Shots on target 7
9 Corners 4
11 Free kicks against 11
2 Yellow cards 2
0 Red cards 1
The table before the match Sandhausen 15. · Erzgebirge Aue 7.
# Team K V U T +/− P
1 Hamburg 8 5 2 1 +6 17
2 Osnabruck 9 4 4 1 +2 16
3 Greuther Furth 8 4 3 1 +8 15
4 Paderborn 8 4 2 2 +7 14
5 Bochum 8 4 2 2 +3 14
6 Holstein Kiel 8 3 4 1 +2 13
7 Erzgebirge Aue 8 3 3 2 +2 12
8 Darmstadt 9 3 3 3 -2 12
9 Fortuna Dusseldorf 8 3 2 3 -2 11
10 Karlsruhe 8 3 1 4 +3 10
11 Nurnberg 8 2 4 2 +2 10
12 Hannover 8 3 1 4 +2 10
13 Heidenheim 8 2 3 3 +1 9
14 Regensburg 8 2 3 3 -2 9
15 Sandhausen 8 2 2 4 -4 8
16 Braunschweig 9 2 2 5 -12 8
17 St Pauli 9 1 4 4 -5 7
18 Wurzburger Kickers 8 1 1 6 -11 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
2,23
U
3,32
B ✓
3,17
Over/under goals
O1,5 ✓
O2,5 ✓
1,95
U2,5
1,84
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.