Ligue 1 · 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
Current-season sample is not complete yetParis SG: 9/10 · Angers: 10/10 in the selected Home / Away context. Stats below use only 2015/16 by default.
Include previous seasons
Quick read

Match snapshot

Home vs Away · Last 10

Form

Paris SG
WDWWWWWWW
8W 1D 0L · 2.78 PPM
Angers
WWLWWLDWLL
5W 1D 4L · 1.60 PPM

Goals

3.22
Scored
1.20
0.67
Conceded
0.90
78%
Over 2.5
40%
56%
BTTS
40%

By half

2.00
1H goals
1.10
1.89
2H goals
1.00
67%
Goal in 2H
60%

Corners

6.56N=9
For
4.00N=10
2.22
Against
6.30
8.78
Total
10.30
Signals

Key historical patterns

moderateAt least one second-half goal

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

Team history

Goals

N=9 N=10
3.22
Goals scored
1.20
0.67
Goals conceded
0.90
3.89
Total goals
2.10
100%9/9
Over 1.5
70%7/10
78%7/9
Over 2.5
40%4/10
56%5/9
Over 3.5
10%1/10
56%5/9
BTTS
40%4/10
Matchup

Paris SG attack

3.22goals per match
Angers conceded0.90
Matchup

Angers attack

1.20goals per match
Paris SG conceded0.67
Timing

First & second half

N=9 N=10
1.67
1H goals scored
0.90
0.33
1H goals conceded
0.20
100%9/9
Over 0.5 1H
80%8/10
100%9/9
Leading at HT
70%7/10
1.56
2H goals scored
0.30
0.33
2H goals conceded
0.70
67%6/9
Over 0.5 2H
60%6/10
44%4/9
More goals in 2H
40%4/10
Set pieces

Corners

N=9 N=10
6.56N=9
Corners for
4.00N=10
2.22
Corners against
6.30
8.78
Match total
10.30
44%4/9
Over 8.5
70%7/10
33%3/9
Over 9.5
60%6/10
78%7/9
Team over 4.5
30%3/10
Advanced

Cards, fouls & shots

Yellow cards

1.22N=9
For
2.10N=10
2.89
Match total
4.30
44%4/9
Over 3.5
70%7/10

Fouls

10.56N=9
Committed
14.70N=10
23.11
Match total
25.30

Shots

17.11N=9
Shots
10.00N=10
7.56
On target
4.10
19%
Conversion
12%
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