League Two · 2011/12
2012-02-21
1
X
2

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
DWDWWDWWLL
5W 3D 2L · 1.80 PPM
Rotherham
LDDWWDLLWD
3W 4D 3L · 1.30 PPM

Goals

1.90
Scored
1.70
1.30
Conceded
1.80
50%
Over 2.5
50%
70%
BTTS
70%

By half

1.30
1H goals
2.00
1.90
2H goals
1.50
80%
Goal in 2H
70%

Corners

6.30N=10
For
6.10N=10
3.90
Against
6.70
10.20
Total
12.80
Signals

Key historical patterns

strongBoth teams scored

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

strongAt least one second-half goal

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

moderateOver 8.5 corners

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

Team history

Goals

N=10 N=10
1.90
Goals scored
1.70
1.30
Goals conceded
1.80
3.20
Total goals
3.50
70%7/10
Over 1.5
80%8/10
50%5/10
Over 2.5
50%5/10
40%4/10
Over 3.5
50%5/10
70%7/10
BTTS
70%7/10
Matchup

Gillingham attack

1.90goals per match
Rotherham conceded1.80
Matchup

Rotherham attack

1.70goals per match
Gillingham conceded1.30
Timing

First & second half

N=10 N=10
0.80
1H goals scored
0.80
0.50
1H goals conceded
1.20
70%7/10
Over 0.5 1H
90%9/10
40%4/10
Leading at HT
20%2/10
1.10
2H goals scored
0.90
0.80
2H goals conceded
0.60
80%8/10
Over 0.5 2H
70%7/10
40%4/10
More goals in 2H
20%2/10
Set pieces

Corners

N=10 N=10
6.30N=10
Corners for
6.10N=10
3.90
Corners against
6.70
10.20
Match total
12.80
60%6/10
Over 8.5
80%8/10
60%6/10
Over 9.5
80%8/10
80%8/10
Team over 4.5
70%7/10
Advanced

Cards, fouls & shots

Yellow cards

1.20N=10
For
1.90N=10
3.60
Match total
2.90
40%4/10
Over 3.5
20%2/10

Fouls

10.70N=10
Committed
12.00N=10
22.90
Match total
22.60

Shots

8.90N=10
Shots
11.00N=10
5.20
On target
5.90
21%
Conversion
15%
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