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14.11.18 04:00
Finished
0
:
2
(0:2, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Sri Lanka. Super League", up to 11/14/2018
To build a prediction for the Red Star - Colombo match, scheduled for 14 November 2018, several key factors could influence the outcome. Red Star have played 1 match, in which they drew it. Colombo, having played 33 matches, won 23 times, drew 5 matches and lost 5 defeats. In the league, Red Star average 1 goals scored per game and 1 conceded. Colombo average 2.4 scored and 0.8 conceded.

Pre-Match Facts

Main
Motivation
Colombo won in 18 out of 24 last matches.
Colombo does not lose over last 13 matches.
Colombo does not lose by more than 1 goal in 24 out of 25 last matches.
Colombo concedes under 2 goals in 22 out of 25 last matches.
In 12 out of 13 last matches, Colombo scores in the first half.
In 10 out of 13 last matches, Colombo won the first half.
In 18 last matches involving Colombo, a draw was recorded in the second half.
Colombo does not lose away in 9 out of 10 last matches.
Colombo concedes under 2 goals in 7 away matches straight.
In 8 out of last 10 away matches, Colombo scores in the first half.

Summary

*Click on a table cell to see a tooltip
Matches
1
33
Wins
0% (0)
70% (23)
Draws
100% (1)
15% (5)
Defeats
0% (0)
15% (5)
Match Total (Avg.)
2
3.3
- Red Star value is better
- Colombo value is better

Trends

*Click on a trend to see details
Wins
5 / 6
Win Or Draw
13 / 13
Both Teams To Score (No)
19 / 33

Streaks

*Matches in a row with a given outcome
Wins
3
Win Or Draw
1
13
Win Or Defeat
3

Team outcomes

Red Star
Colombo
H2H
Based on number of matches: 1
1 X 2
Draws
100% (1)
Double Chance
Wins Or Draws
100% (1)
Draws Or Defeats
100% (1)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Red Star - Colombo - score, tip, statistics

View the match score for Red Star - Colombo. 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