Ligue 1 · 2018/19
2019-04-30
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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

Montpellier
WDLDWDLDWW
4W 4D 2L · 1.60 PPM
Paris SG
DDWLWWWWLL
5W 2D 3L · 1.70 PPM

Goals

1.80
Scored
1.80
1.30
Conceded
1.40
60%
Over 2.5
70%
60%
BTTS
60%

By half

0.90
1H goals
1.10
2.20
2H goals
2.10
90%
Goal in 2H
100%

Corners

4.60N=10
For
6.10N=10
4.80
Against
3.50
9.40
Total
9.60
Signals

Key historical patterns

moderateOver 2.5 goals

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

moderateBoth teams scored

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

very strongAt least one second-half goal

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

Team history

Goals

N=10 N=10
1.80
Goals scored
1.80
1.30
Goals conceded
1.40
3.10
Total goals
3.20
90%9/10
Over 1.5
80%8/10
60%6/10
Over 2.5
70%7/10
40%4/10
Over 3.5
40%4/10
60%6/10
BTTS
60%6/10
Matchup

Montpellier attack

1.80goals per match
Paris SG conceded1.40
Matchup

Paris SG attack

1.80goals per match
Montpellier conceded1.30
Timing

First & second half

N=10 N=10
0.50
1H goals scored
0.60
0.40
1H goals conceded
0.50
60%6/10
Over 0.5 1H
60%6/10
20%2/10
Leading at HT
20%2/10
1.30
2H goals scored
1.20
0.90
2H goals conceded
0.90
90%9/10
Over 0.5 2H
100%10/10
60%6/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
4.60N=10
Corners for
6.10N=10
4.80
Corners against
3.50
9.40
Match total
9.60
30%3/10
Over 8.5
60%6/10
30%3/10
Over 9.5
40%4/10
60%6/10
Team over 4.5
70%7/10
Advanced

Cards, fouls & shots

Yellow cards

1.40N=10
For
2.10N=10
3.20
Match total
3.70
30%3/10
Over 3.5
40%4/10

Fouls

14.00N=10
Committed
12.90N=10
27.30
Match total
25.20

Shots

14.10N=10
Shots
14.60N=10
4.70
On target
5.70
13%
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