Ligue 1 · 2018/19
2019-05-18
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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
WWWWWWWDWD
8W 2D 0L · 2.60 PPM
Dijon
LLLLLLLWLL
1W 0D 9L · 0.30 PPM

Goals

3.20
Scored
0.30
0.70
Conceded
1.60
70%
Over 2.5
30%
60%
BTTS
10%

By half

1.60
1H goals
0.60
2.30
2H goals
1.30
90%
Goal in 2H
90%

Corners

6.90N=10
For
3.80N=10
3.40
Against
5.50
10.30
Total
9.30
Signals

Key historical patterns

very strongAt least one second-half goal

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

moderateOver 8.5 corners

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

Team history

Goals

N=10 N=10
3.20
Goals scored
0.30
0.70
Goals conceded
1.60
3.90
Total goals
1.90
80%8/10
Over 1.5
50%5/10
70%7/10
Over 2.5
30%3/10
60%6/10
Over 3.5
10%1/10
60%6/10
BTTS
10%1/10
Matchup

Paris SG attack

3.20goals per match
Dijon conceded1.60
Matchup

Dijon attack

0.30goals per match
Paris SG conceded0.70
Timing

First & second half

N=10 N=10
1.20
1H goals scored
0.20
0.40
1H goals conceded
0.40
80%8/10
Over 0.5 1H
40%4/10
60%6/10
Leading at HT
10%1/10
2.00
2H goals scored
0.10
0.30
2H goals conceded
1.20
90%9/10
Over 0.5 2H
90%9/10
60%6/10
More goals in 2H
70%7/10
Set pieces

Corners

N=10 N=10
6.90N=10
Corners for
3.80N=10
3.40
Corners against
5.50
10.30
Match total
9.30
80%8/10
Over 8.5
60%6/10
70%7/10
Over 9.5
50%5/10
70%7/10
Team over 4.5
20%2/10
Advanced

Cards, fouls & shots

Yellow cards

1.80N=10
For
2.40N=10
3.30
Match total
3.60
30%3/10
Over 3.5
40%4/10

Fouls

11.20N=10
Committed
14.70N=10
23.10
Match total
26.30

Shots

17.00N=10
Shots
8.90N=10
6.30
On target
2.70
19%
Conversion
3%
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