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2. Bundesliga
Sandhausen
T U U S T
2–0
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 9%
17%
0%
Points per game
0,8
0,2
Over 2.5 Ø 75%
67%
83%
Both score Ø 59%
67%
50%
Average goals
3,5
3,5
Scored
1,2
0,7
Conceded
2,3
2,8
Goal diff per game
-1,2
-2,2
This season — 2. Bundesliga · 19/20 matches
Win Ø 18%
21%
15%
Points per game
0,9
0,8
Over 2.5 Ø 59%
63%
55%
Both score Ø 59%
63%
55%
Average goals
3,1
2,7
Scored
1,1
0,9
Conceded
2,1
1,9
Goal diff per game
-1,0
-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: 1–0

17 Shots 12
8 Shots on target 5
8 Corners 1
21 Free kicks against 15
4 Yellow cards 5
0 Red cards 0
The table before the match Sandhausen 16. · Erzgebirge Aue 17.
# Team K V U T +/− P
1 Darmstadt 20 12 3 5 +23 39
2 St Pauli 20 11 4 5 +13 37
3 Heidenheim 21 11 4 6 +2 37
4 Werder Bremen 20 10 5 5 +11 35
5 Schalke 04 20 10 4 6 +16 34
6 Hamburg 20 8 10 2 +14 34
7 Nurnberg 21 9 6 6 +1 33
8 Regensburg 20 9 4 7 +9 31
9 Paderborn 20 8 6 6 +10 30
10 Karlsruhe 19 6 8 5 +3 26
11 Holstein Kiel 20 6 7 7 -6 25
12 Dresden 20 7 3 10 -5 24
13 Hannover 21 6 6 9 -14 24
14 Hansa Rostock 20 5 6 9 -11 21
15 Fortuna Dusseldorf 20 5 5 10 -6 20
16 Sandhausen 19 4 5 10 -19 17
17 Erzgebirge Aue 20 3 6 11 -20 15
18 Ingolstadt 21 3 4 14 -21 13

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 ✓
2,38
U
3,39
B
2,88
Over/under goals
O1,5 ✓
O2,5
1,86
U2,5 ✓
1,94
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.