23.10.16 12:00
Finished
2
:
3
(2:3, 0:0)
Preview
Summary
Matches
Trends
Based on last 50 matches across all tournaments, up to 10/23/2016
To build a prediction for the Concordia - UQAM match, scheduled for 23 October 2016, several key factors could influence the outcome. Concordia have played 10 matches, in which they won 3 of them, drew 2 times and lost 5 matches. UQAM, having played 9 matches, won 3 times and drew 6 matches. In the league, Concordia average 1.6 goals scored per game and 1.5 conceded. UQAM average 1.3 scored and 0.7 conceded. These sides last met on 24 September 2016 at UQAM's ground, where the match ended in a draw.

Pre-Match Facts

Main
Motivation
In 8 out of 9 last matches involving Concordia, a draw was recorded in the second half.
In 6 out of 9 last matches involving UQAM, a draw was recorded.
UQAM does not lose over last 9 matches.
In 7 out of 9 last matches involving UQAM, a draw was recorded in the first half.
In 8 out of 9 last matches involving UQAM, a draw was recorded in the second half.

Head-to-Head

Corners
Yellows
Reds

Summary

*Click on a table cell to see a tooltip
Matches
10
9
Wins
30% (3)
33% (3)
Draws
20% (2)
67% (6)
Defeats
50% (5)
0% (0)
Match Total (Avg.)
3.1
2
- Concordia value is better
- UQAM value is better

Trends

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

Streaks

*Matches in a row with a given outcome
Win Or Draw
9
Win Or Defeat
3

Team outcomes

Concordia
UQAM
H2H
Based on number of matches: 10
1 X 2
Wins
30% (3)
Draws
20% (2)
Defeats
50% (5)
Double Chance
Wins Or Draws
50% (5)
Wins Or Defeats
80% (8)
Draws Or Defeats
70% (7)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Concordia - UQAM - score, tip, statistics

View the match score for Concordia - UQAM. 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