20.05.18 08:15
Finished
3
:
3
(2:0, 1:3)

Goals

9'
1 : 0
33'
2 : 0
2 : 1
52'
2 : 2
84'
2 : 3
88'
90'
3 : 3
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Kenya. KPL", up to 05/20/2018
To build a prediction for the Gor Mahia - Sofapaka match, scheduled for 20 May 2018, several key factors could influence the outcome. Gor Mahia have played 12 matches, in which they won 9 of them and drew 3 times. Sofapaka, having played 15 matches, won 7 times, drew 3 matches and lost 5 defeats. In the league, Gor Mahia average 2.3 goals scored per game and 0.9 conceded. Sofapaka average 1.3 scored and 1.3 conceded.

Pre-Match Facts

Main
Motivation
Gor Mahia won in 9 out of 12 last matches.
Gor Mahia does not lose over last 12 matches.
Gor Mahia scores in 8 matches straight.
Sofapaka concedes under 2 goals in 7 out of 8 last matches.
Gor Mahia won in 5 home matches straight.
In 6 out of 7 last matches where Gor Mahia played at home, at least one team did not score.
Gor Mahia does not concede at home in 6 out of 7 last matches.

Summary

*Click on a table cell to see a tooltip
Matches
12
15
Wins
75% (9)
47% (7)
Draws
25% (3)
20% (3)
Defeats
0% (0)
33% (5)
Match Total (Avg.)
3.2
2.5
- Gor Mahia value is better
- Sofapaka value is better

Trends

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

Streaks

*Matches in a row with a given outcome
Win Or Draw
12
2
Win Or Defeat
1
3
Both Teams To Score (Yes)
4
1

Team outcomes

Gor Mahia
Sofapaka
H2H
Based on number of matches: 12
1 X 2
Wins
75% (9)
Draws
25% (3)
Double Chance
Wins Or Draws
100% (12)
Wins Or Defeats
75% (9)
Draws Or Defeats
25% (3)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Gor Mahia - Sofapaka - score, tip, statistics

View the match score for Gor Mahia - Sofapaka. 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