Ligue 1 · 2016/17
2017-03-04
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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
LWWDWWDWLW
6W 2D 2L · 2.00 PPM
Guingamp
LWDDLDLLLL
1W 3D 6L · 0.60 PPM

Goals

1.90
Scored
1.10
0.90
Conceded
2.00
70%
Over 2.5
60%
60%
BTTS
60%

By half

1.40
1H goals
1.30
1.40
2H goals
1.80
80%
Goal in 2H
90%

Corners

5.20N=10
For
4.10N=10
3.20
Against
5.00
8.40
Total
9.10
Signals

Key historical patterns

moderateOver 2.5 goals

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

moderateBoth teams scored

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

very strongAt least one second-half goal

8/10 home-side sample · 9/10 away-side sample.

Team history

Goals

N=10 N=10
1.90
Goals scored
1.10
0.90
Goals conceded
2.00
2.80
Total goals
3.10
80%8/10
Over 1.5
80%8/10
70%7/10
Over 2.5
60%6/10
30%3/10
Over 3.5
50%5/10
60%6/10
BTTS
60%6/10
Matchup

Montpellier attack

1.90goals per match
Guingamp conceded2.00
Matchup

Guingamp attack

1.10goals per match
Montpellier conceded0.90
Timing

First & second half

N=10 N=10
0.70
1H goals scored
0.20
0.70
1H goals conceded
1.10
90%9/10
Over 0.5 1H
80%8/10
30%3/10
Leading at HT
10%1/10
1.20
2H goals scored
0.90
0.20
2H goals conceded
0.90
80%8/10
Over 0.5 2H
90%9/10
30%3/10
More goals in 2H
50%5/10
Set pieces

Corners

N=10 N=10
5.20N=10
Corners for
4.10N=10
3.20
Corners against
5.00
8.40
Match total
9.10
40%4/10
Over 8.5
50%5/10
20%2/10
Over 9.5
30%3/10
60%6/10
Team over 4.5
40%4/10
Advanced

Cards, fouls & shots

Yellow cards

1.20N=10
For
1.90N=10
2.50
Match total
3.30
40%4/10
Over 3.5
40%4/10

Fouls

10.00N=10
Committed
15.00N=10
23.30
Match total
28.30

Shots

14.50N=10
Shots
10.90N=10
4.20
On target
4.40
13%
Conversion
10%
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