League Two · 2015/16
2016-01-30
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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

Accrington
DWDWWLLWDW
5W 3D 2L · 1.80 PPM
Bristol Rvs
WWWWLDWDLW
6W 2D 2L · 2.00 PPM

Goals

2.10
Scored
1.80
1.60
Conceded
1.00
70%
Over 2.5
70%
90%
BTTS
60%

By half

1.70
1H goals
0.90
2.00
2H goals
1.90
90%
Goal in 2H
80%

Corners

5.00N=10
For
5.90N=10
3.70
Against
5.30
8.70
Total
11.20
Signals

Key historical patterns

strongOver 2.5 goals

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

moderateBoth teams scored

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

very strongAt least one second-half goal

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

Team history

Goals

N=10 N=10
2.10
Goals scored
1.80
1.60
Goals conceded
1.00
3.70
Total goals
2.80
90%9/10
Over 1.5
80%8/10
70%7/10
Over 2.5
70%7/10
60%6/10
Over 3.5
10%1/10
90%9/10
BTTS
60%6/10
Matchup

Accrington attack

2.10goals per match
Bristol Rvs conceded1.00
Matchup

Bristol Rvs attack

1.80goals per match
Accrington conceded1.60
Timing

First & second half

N=10 N=10
1.10
1H goals scored
0.40
0.60
1H goals conceded
0.50
80%8/10
Over 0.5 1H
70%7/10
40%4/10
Leading at HT
30%3/10
1.00
2H goals scored
1.40
1.00
2H goals conceded
0.50
90%9/10
Over 0.5 2H
80%8/10
40%4/10
More goals in 2H
70%7/10
Set pieces

Corners

N=10 N=10
5.00N=10
Corners for
5.90N=10
3.70
Corners against
5.30
8.70
Match total
11.20
40%4/10
Over 8.5
70%7/10
40%4/10
Over 9.5
60%6/10
50%5/10
Team over 4.5
60%6/10
Advanced

Cards, fouls & shots

Yellow cards

1.20N=10
For
1.40N=10
2.90
Match total
2.80
20%2/10
Over 3.5
30%3/10

Fouls

9.80N=10
Committed
11.50N=10
22.60
Match total
21.20

Shots

13.80N=10
Shots
12.40N=10
6.40
On target
5.30
15%
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