League Two · 2011/12
2012-02-13
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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

Gillingham
LDWDWWDWWL
5W 3D 2L · 1.80 PPM
Southend
WWWWWLWWLD
7W 1D 2L · 2.20 PPM

Goals

1.80
Scored
2.70
1.20
Conceded
1.30
40%
Over 2.5
90%
60%
BTTS
60%

By half

1.10
1H goals
1.60
1.90
2H goals
2.40
80%
Goal in 2H
100%

Corners

5.90N=10
For
6.40N=10
4.40
Against
5.40
10.30
Total
11.80
Signals

Key historical patterns

moderateBoth teams scored

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

very strongAt least one second-half goal

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

moderateOver 8.5 corners

6/10 home-side sample · 8/10 away-side sample.

Team history

Goals

N=10 N=10
1.80
Goals scored
2.70
1.20
Goals conceded
1.30
3.00
Total goals
4.00
60%6/10
Over 1.5
100%10/10
40%4/10
Over 2.5
90%9/10
40%4/10
Over 3.5
60%6/10
60%6/10
BTTS
60%6/10
Matchup

Gillingham attack

1.80goals per match
Southend conceded1.30
Matchup

Southend attack

2.70goals per match
Gillingham conceded1.20
Timing

First & second half

N=10 N=10
0.80
1H goals scored
1.10
0.30
1H goals conceded
0.50
60%6/10
Over 0.5 1H
90%9/10
40%4/10
Leading at HT
60%6/10
1.00
2H goals scored
1.60
0.90
2H goals conceded
0.80
80%8/10
Over 0.5 2H
100%10/10
50%5/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
5.90N=10
Corners for
6.40N=10
4.40
Corners against
5.40
10.30
Match total
11.80
60%6/10
Over 8.5
80%8/10
60%6/10
Over 9.5
80%8/10
70%7/10
Team over 4.5
80%8/10
Advanced

Cards, fouls & shots

Yellow cards

1.30N=10
For
2.00N=10
3.60
Match total
3.40
40%4/10
Over 3.5
40%4/10

Fouls

10.90N=10
Committed
10.50N=10
22.10
Match total
21.20

Shots

9.30N=10
Shots
12.50N=10
5.20
On target
7.00
19%
Conversion
22%
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