12.11.10 15:00
Finished
1
:
0
(1:, 0:0)

Goals

20'
1 : 0

Stats

Match
Top Stats
4
Corner Kicks
4
 
 
1
Yellow Cards
1
 
 
44
Ball Possession (%)
56
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "France. Ligue 1", up to 11/12/2010
To build a prediction for the Montpellier - Toulouse match, scheduled for 12 November 2010, several key factors could influence the outcome. Montpellier have played 12 matches, in which they won 5 of them, drew 3 times and lost 4 matches. Toulouse, having played 12 matches, won 5 times, drew 3 matches and lost 4 defeats. In the league, Montpellier average 0.9 goals scored per game and 1 conceded. Toulouse average 1.2 scored and 1.1 conceded.

Pre-Match Facts

Main
Motivation
Montpellier does not concede in 6 out of 12 last matches.
Montpellier scores under 2 goals in 10 out of 12 last matches.
In 5 out of 6 last matches, Montpellier scores in the first half.
Toulouse scores under 2 goals in 7 out of 8 last matches.
Toulouse concedes under 2 goals in 9 out of 12 last matches.

Summary

*Click on a table cell to see a tooltip
Matches
12
12
Wins
42% (5)
42% (5)
Draws
25% (3)
25% (3)
Defeats
33% (4)
33% (4)
Match Total (Avg.)
1.9
2.3
- Montpellier value is better
- Toulouse value is better

Trends

*Click on a trend to see details
Win Or Defeat
8 / 9
4 / 5
Draw Or Defeat
7 / 8
Both Teams To Score (Yes)
4 / 6
Both Teams To Score (No)
8 / 12
5 / 9
Win To Nil (Yes)
2 / 4

Streaks

No streaks h2h found. Try changing the filters

Team outcomes

Montpellier
Toulouse
H2H
Based on number of matches: 12
1 X 2
Wins
42% (5)
Draws
25% (3)
Defeats
33% (4)
Double Chance
Wins Or Draws
67% (8)
Wins Or Defeats
75% (9)
Draws Or Defeats
58% (7)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Montpellier - Toulouse - score, tip, statistics

View the match score for Montpellier - Toulouse. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics