Ligue 1 · 2015/16
2016-02-03
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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

Paris SG
WDWWWWWWWW
9W 1D 0L · 2.80 PPM
Lorient
LWLDDDWLDL
2W 4D 4L · 1.00 PPM

Goals

3.40
Scored
1.50
0.70
Conceded
2.10
80%
Over 2.5
80%
60%
BTTS
90%

By half

2.00
1H goals
1.90
2.10
2H goals
1.70
70%
Goal in 2H
60%

Corners

6.20N=10
For
3.50N=10
2.10
Against
5.80
8.30
Total
9.30
Signals

Key historical patterns

very strongOver 2.5 goals

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

moderateBoth teams scored

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

moderateAt least one second-half goal

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

Team history

Goals

N=10 N=10
3.40
Goals scored
1.50
0.70
Goals conceded
2.10
4.10
Total goals
3.60
100%10/10
Over 1.5
100%10/10
80%8/10
Over 2.5
80%8/10
60%6/10
Over 3.5
50%5/10
60%6/10
BTTS
90%9/10
Matchup

Paris SG attack

3.40goals per match
Lorient conceded2.10
Matchup

Lorient attack

1.50goals per match
Paris SG conceded0.70
Timing

First & second half

N=10 N=10
1.70
1H goals scored
0.70
0.30
1H goals conceded
1.20
100%10/10
Over 0.5 1H
100%10/10
100%10/10
Leading at HT
10%1/10
1.70
2H goals scored
0.80
0.40
2H goals conceded
0.90
70%7/10
Over 0.5 2H
60%6/10
50%5/10
More goals in 2H
50%5/10
Set pieces

Corners

N=10 N=10
6.20N=10
Corners for
3.50N=10
2.10
Corners against
5.80
8.30
Match total
9.30
40%4/10
Over 8.5
50%5/10
30%3/10
Over 9.5
40%4/10
70%7/10
Team over 4.5
20%2/10
Advanced

Cards, fouls & shots

Yellow cards

1.10N=10
For
2.20N=10
2.70
Match total
4.10
40%4/10
Over 3.5
60%6/10

Fouls

10.30N=10
Committed
13.80N=10
22.70
Match total
26.60

Shots

17.00N=10
Shots
9.60N=10
7.80
On target
3.50
20%
Conversion
16%
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