Premiership · 2013/14
2014-02-22
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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

Ross County
LWWLLLLWWL
4W 0D 6L · 1.20 PPM
St Mirren
WLWLLLLWLL
3W 0D 7L · 0.90 PPM

Goals

1.30
Scored
1.00
1.70
Conceded
1.80
70%
Over 2.5
60%
60%
BTTS
30%

By half

1.40
1H goals
1.50
1.60
2H goals
1.30
90%
Goal in 2H
90%

Corners

5.40N=10
For
5.70N=10
6.30
Against
8.20
11.70
Total
13.90
Signals

Key historical patterns

moderateOver 2.5 goals

7/10 home-side sample · 6/10 away-side sample.

very strongAt least one second-half goal

9/10 home-side sample · 9/10 away-side sample.

moderateOver 8.5 corners

6/10 home-side sample · 9/10 away-side sample.

Team history

Goals

N=10 N=10
1.30
Goals scored
1.00
1.70
Goals conceded
1.80
3.00
Total goals
2.80
80%8/10
Over 1.5
90%9/10
70%7/10
Over 2.5
60%6/10
20%2/10
Over 3.5
20%2/10
60%6/10
BTTS
30%3/10
Matchup

Ross County attack

1.30goals per match
St Mirren conceded1.80
Matchup

St Mirren attack

1.00goals per match
Ross County conceded1.70
Timing

First & second half

N=10 N=10
0.30
1H goals scored
0.70
1.10
1H goals conceded
0.80
80%8/10
Over 0.5 1H
90%9/10
10%1/10
Leading at HT
30%3/10
1.00
2H goals scored
0.30
0.60
2H goals conceded
1.00
90%9/10
Over 0.5 2H
90%9/10
50%5/10
More goals in 2H
20%2/10
Set pieces

Corners

N=10 N=10
5.40N=10
Corners for
5.70N=10
6.30
Corners against
8.20
11.70
Match total
13.90
60%6/10
Over 8.5
90%9/10
60%6/10
Over 9.5
80%8/10
60%6/10
Team over 4.5
40%4/10
Advanced

Cards, fouls & shots

Yellow cards

2.00N=10
For
1.40N=10
4.10
Match total
2.20
70%7/10
Over 3.5
30%3/10

Fouls

11.00N=10
Committed
11.10N=10
23.10
Match total
23.00

Shots

10.50N=10
Shots
7.20N=10
3.60
On target
3.10
12%
Conversion
14%
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