2. Bundesliga · 2017/18
2018-03-03
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Average market odds. Implied probabilities are normalized to remove the market margin.

Sample
Context
Past seasons
Quick read

Match snapshot

Home vs Away · Last 10

Form

Sandhausen
WWWDLLWWWD
6W 2D 2L · 2.00 PPM
Erzgebirge Aue
DWWLDLLLLD
2W 3D 5L · 0.90 PPM

Goals

1.30
Scored
1.10
0.60
Conceded
2.00
30%
Over 2.5
70%
40%
BTTS
70%

By half

0.30
1H goals
1.40
1.60
2H goals
1.70
80%
Goal in 2H
80%

Corners

4.00N=10
For
3.90N=10
5.60
Against
6.20
9.60
Total
10.10
Signals

Key historical patterns

very strongAt least one second-half goal

8/10 home-side sample · 8/10 away-side sample.

Team history

Goals

N=10 N=10
1.30
Goals scored
1.10
0.60
Goals conceded
2.00
1.90
Total goals
3.10
50%5/10
Over 1.5
100%10/10
30%3/10
Over 2.5
70%7/10
20%2/10
Over 3.5
30%3/10
40%4/10
BTTS
70%7/10
Matchup

Sandhausen attack

1.30goals per match
Erzgebirge Aue conceded2.00
Matchup

Erzgebirge Aue attack

1.10goals per match
Sandhausen conceded0.60
Timing

First & second half

N=10 N=10
0.20
1H goals scored
0.50
0.10
1H goals conceded
0.90
30%3/10
Over 0.5 1H
90%9/10
20%2/10
Leading at HT
20%2/10
1.10
2H goals scored
0.60
0.50
2H goals conceded
1.10
80%8/10
Over 0.5 2H
80%8/10
80%8/10
More goals in 2H
50%5/10
Set pieces

Corners

N=10 N=10
4.00N=10
Corners for
3.90N=10
5.60
Corners against
6.20
9.60
Match total
10.10
50%5/10
Over 8.5
60%6/10
30%3/10
Over 9.5
40%4/10
50%5/10
Team over 4.5
20%2/10
Advanced

Cards, fouls & shots

Yellow cards

1.90N=10
For
2.50N=10
4.80
Match total
4.00
60%6/10
Over 3.5
70%7/10

Fouls

15.90N=10
Committed
14.50N=10
33.50
Match total
27.90

Shots

13.70N=10
Shots
9.80N=10
4.20
On target
4.20
9%
Conversion
11%
Historical scope
History
This match does not have enough average market data to build a similarity profile.
Market history

Similar historical matches

Not enough comparable matchesStatus: insufficient_market_data. The site does not force a percentage when the historical sample is insufficient.
Half-time score
The half-time explorer cannot be built because the target match has insufficient market data.
What if?

If half-time is 0-0

Scenario unavailableStatus: insufficient_market_data