League One · 2016/17
2017-04-17
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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

Charlton
WDDLLWDDLW
3W 4D 3L · 1.30 PPM
Gillingham
DLLDDLLWLL
1W 3D 6L · 0.60 PPM

Goals

1.10
Scored
1.30
1.00
Conceded
2.10
30%
Over 2.5
80%
60%
BTTS
90%

By half

1.20
1H goals
1.50
0.90
2H goals
1.90
60%
Goal in 2H
90%

Corners

5.30N=10
For
4.30N=10
5.50
Against
7.70
10.80
Total
12.00
Signals

Key historical patterns

moderateBoth teams scored

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

moderateAt least one second-half goal

6/10 home-side sample · 9/10 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
1.10
Goals scored
1.30
1.00
Goals conceded
2.10
2.10
Total goals
3.40
70%7/10
Over 1.5
90%9/10
30%3/10
Over 2.5
80%8/10
10%1/10
Over 3.5
50%5/10
60%6/10
BTTS
90%9/10
Matchup

Charlton attack

1.10goals per match
Gillingham conceded2.10
Matchup

Gillingham attack

1.30goals per match
Charlton conceded1.00
Timing

First & second half

N=10 N=10
0.50
1H goals scored
0.40
0.70
1H goals conceded
1.10
90%9/10
Over 0.5 1H
90%9/10
20%2/10
Leading at HT
20%2/10
0.60
2H goals scored
0.90
0.30
2H goals conceded
1.00
60%6/10
Over 0.5 2H
90%9/10
20%2/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
5.30N=10
Corners for
4.30N=10
5.50
Corners against
7.70
10.80
Match total
12.00
80%8/10
Over 8.5
90%9/10
80%8/10
Over 9.5
80%8/10
70%7/10
Team over 4.5
30%3/10
Advanced

Cards, fouls & shots

Yellow cards

2.70N=10
For
2.10N=10
5.00
Match total
3.00
80%8/10
Over 3.5
40%4/10

Fouls

11.60N=10
Committed
15.10N=10
25.00
Match total
25.10

Shots

9.90N=10
Shots
9.90N=10
3.20
On target
4.40
11%
Conversion
13%
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