League One · 2015/16
2016-05-08
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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
WWDWLWDLLL
4W 2D 4L · 1.40 PPM
Millwall
WWWWDDLDLW
5W 3D 2L · 1.80 PPM

Goals

1.40
Scored
1.50
1.10
Conceded
0.90
70%
Over 2.5
60%
50%
BTTS
60%

By half

1.10
1H goals
1.10
1.40
2H goals
1.30
70%
Goal in 2H
80%

Corners

6.90N=10
For
6.60N=10
4.10
Against
5.80
11.00
Total
12.40
Signals

Key historical patterns

moderateOver 2.5 goals

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

strongAt least one second-half goal

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

very strongOver 8.5 corners

8/10 home-side sample · 9/10 away-side sample.

Team history

Goals

N=10 N=10
1.40
Goals scored
1.50
1.10
Goals conceded
0.90
2.50
Total goals
2.40
80%8/10
Over 1.5
70%7/10
70%7/10
Over 2.5
60%6/10
10%1/10
Over 3.5
20%2/10
50%5/10
BTTS
60%6/10
Matchup

Gillingham attack

1.40goals per match
Millwall conceded0.90
Matchup

Millwall attack

1.50goals per match
Gillingham conceded1.10
Timing

First & second half

N=10 N=10
0.50
1H goals scored
0.80
0.60
1H goals conceded
0.30
70%7/10
Over 0.5 1H
60%6/10
30%3/10
Leading at HT
40%4/10
0.90
2H goals scored
0.70
0.50
2H goals conceded
0.60
70%7/10
Over 0.5 2H
80%8/10
50%5/10
More goals in 2H
50%5/10
Set pieces

Corners

N=10 N=10
6.90N=10
Corners for
6.60N=10
4.10
Corners against
5.80
11.00
Match total
12.40
80%8/10
Over 8.5
90%9/10
80%8/10
Over 9.5
90%9/10
70%7/10
Team over 4.5
80%8/10
Advanced

Cards, fouls & shots

Yellow cards

1.40N=10
For
1.80N=10
2.90
Match total
3.00
30%3/10
Over 3.5
50%5/10

Fouls

10.10N=10
Committed
12.30N=10
20.10
Match total
21.00

Shots

11.90N=10
Shots
7.90N=10
4.80
On target
4.10
12%
Conversion
19%
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