League Two · 2015/16
2016-01-23
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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

Wycombe
LWLLDDDWWL
3W 3D 4L · 1.20 PPM
Leyton Orient
DDLDWLDDLD
1W 6D 3L · 0.90 PPM

Goals

1.30
Scored
1.20
1.50
Conceded
1.50
50%
Over 2.5
40%
60%
BTTS
90%

By half

1.10
1H goals
1.30
1.70
2H goals
1.40
90%
Goal in 2H
80%

Corners

6.70N=10
For
4.80N=10
4.50
Against
5.10
11.20
Total
9.90
Signals

Key historical patterns

moderateBoth teams scored

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

very strongAt least one second-half goal

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

moderateOver 8.5 corners

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

Team history

Goals

N=10 N=10
1.30
Goals scored
1.20
1.50
Goals conceded
1.50
2.80
Total goals
2.70
90%9/10
Over 1.5
90%9/10
50%5/10
Over 2.5
40%4/10
30%3/10
Over 3.5
30%3/10
60%6/10
BTTS
90%9/10
Matchup

Wycombe attack

1.30goals per match
Leyton Orient conceded1.50
Matchup

Leyton Orient attack

1.20goals per match
Wycombe conceded1.50
Timing

First & second half

N=10 N=10
0.60
1H goals scored
0.60
0.50
1H goals conceded
0.70
50%5/10
Over 0.5 1H
70%7/10
20%2/10
Leading at HT
20%2/10
0.70
2H goals scored
0.60
1.00
2H goals conceded
0.80
90%9/10
Over 0.5 2H
80%8/10
60%6/10
More goals in 2H
30%3/10
Set pieces

Corners

N=10 N=10
6.70N=10
Corners for
4.80N=10
4.50
Corners against
5.10
11.20
Match total
9.90
70%7/10
Over 8.5
60%6/10
50%5/10
Over 9.5
50%5/10
80%8/10
Team over 4.5
50%5/10
Advanced

Cards, fouls & shots

Yellow cards

1.30N=10
For
1.00N=10
2.90
Match total
2.50
30%3/10
Over 3.5
20%2/10

Fouls

12.80N=10
Committed
11.70N=10
24.10
Match total
21.50

Shots

7.90N=10
Shots
11.00N=10
3.10
On target
5.10
16%
Conversion
11%
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