League One · 2014/15
2015-03-17
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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

Chesterfield
WLWWWDLLWL
5W 1D 4L · 1.60 PPM
Gillingham
DWWLLDWDWD
4W 4D 2L · 1.60 PPM

Goals

2.00
Scored
1.50
1.40
Conceded
1.20
80%
Over 2.5
70%
50%
BTTS
80%

By half

1.50
1H goals
0.90
1.90
2H goals
1.80
100%
Goal in 2H
90%

Corners

7.30N=10
For
3.70N=10
4.50
Against
7.60
11.80
Total
11.30
Signals

Key historical patterns

strongOver 2.5 goals

8/10 home-side sample · 7/10 away-side sample.

very strongAt least one second-half goal

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

strongOver 8.5 corners

8/10 home-side sample · 7/10 away-side sample.

Team history

Goals

N=10 N=10
2.00
Goals scored
1.50
1.40
Goals conceded
1.20
3.40
Total goals
2.70
90%9/10
Over 1.5
90%9/10
80%8/10
Over 2.5
70%7/10
40%4/10
Over 3.5
20%2/10
50%5/10
BTTS
80%8/10
Matchup

Chesterfield attack

2.00goals per match
Gillingham conceded1.20
Matchup

Gillingham attack

1.50goals per match
Chesterfield conceded1.40
Timing

First & second half

N=10 N=10
1.00
1H goals scored
0.50
0.50
1H goals conceded
0.40
90%9/10
Over 0.5 1H
60%6/10
50%5/10
Leading at HT
30%3/10
1.00
2H goals scored
1.00
0.90
2H goals conceded
0.80
100%10/10
Over 0.5 2H
90%9/10
70%7/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
7.30N=10
Corners for
3.70N=10
4.50
Corners against
7.60
11.80
Match total
11.30
80%8/10
Over 8.5
70%7/10
80%8/10
Over 9.5
70%7/10
70%7/10
Team over 4.5
30%3/10
Advanced

Cards, fouls & shots

Yellow cards

1.30N=10
For
2.30N=10
3.20
Match total
3.40
50%5/10
Over 3.5
40%4/10

Fouls

7.10N=10
Committed
11.60N=10
16.00
Match total
20.70

Shots

13.70N=10
Shots
7.50N=10
6.10
On target
3.10
15%
Conversion
20%
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