League Two · 2015/16
2016-02-20
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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

Mansfield
LLWLDDLWLW
3W 2D 5L · 1.10 PPM
Dag and Red
DDLWLLWWDL
3W 3D 4L · 1.20 PPM

Goals

1.20
Scored
1.50
1.60
Conceded
1.60
50%
Over 2.5
70%
70%
BTTS
70%

By half

1.70
1H goals
1.70
1.10
2H goals
1.40
60%
Goal in 2H
80%

Corners

5.70N=10
For
3.20N=10
4.10
Against
8.60
9.80
Total
11.80
Signals

Key historical patterns

strongBoth teams scored

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

moderateAt least one second-half goal

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

moderateOver 8.5 corners

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

Team history

Goals

N=10 N=10
1.20
Goals scored
1.50
1.60
Goals conceded
1.60
2.80
Total goals
3.10
100%10/10
Over 1.5
70%7/10
50%5/10
Over 2.5
70%7/10
20%2/10
Over 3.5
60%6/10
70%7/10
BTTS
70%7/10
Matchup

Mansfield attack

1.20goals per match
Dag and Red conceded1.60
Matchup

Dag and Red attack

1.50goals per match
Mansfield conceded1.60
Timing

First & second half

N=10 N=10
0.70
1H goals scored
0.90
1.00
1H goals conceded
0.80
100%10/10
Over 0.5 1H
80%8/10
20%2/10
Leading at HT
30%3/10
0.50
2H goals scored
0.60
0.60
2H goals conceded
0.80
60%6/10
Over 0.5 2H
80%8/10
30%3/10
More goals in 2H
30%3/10
Set pieces

Corners

N=10 N=10
5.70N=10
Corners for
3.20N=10
4.10
Corners against
8.60
9.80
Match total
11.80
60%6/10
Over 8.5
90%9/10
60%6/10
Over 9.5
80%8/10
60%6/10
Team over 4.5
10%1/10
Advanced

Cards, fouls & shots

Yellow cards

1.50N=10
For
0.70N=10
3.30
Match total
1.40
30%3/10
Over 3.5
0%0/10

Fouls

11.40N=10
Committed
12.00N=10
21.30
Match total
21.20

Shots

12.60N=10
Shots
6.70N=10
4.90
On target
2.90
10%
Conversion
22%
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