Sony Sugar vs KRA: result 0-1 and analysis
FKF Premier LeagueRegular Season - 3Kick-off on February 27, 2016 at 12:00 PM (UTC)Green Stadium, Awendo
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What was the result of Sony Sugar vs KRA?
KRA won 0-1 on February 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sony Sugar have 5 wins, 5 draws and 5 defeats; KRA have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2016 | AFC Leopards(home) | 1-2 | FKF Premier League |
| Feb 13, 2016 | Ulinzi Stars(away) | 0-0 | FKF Premier League |
| Nov 1, 2015 | Nairobi City Stars(away) | 1-1 | FKF Premier League |
| Oct 25, 2015 | Nakuru AllStars(home) | 1-2 | FKF Premier League |
| Oct 21, 2015 | Tusker(home) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Thika United(home) | 1-1 | FKF Premier League |
| Feb 13, 2016 | Sofapaka(away) | 1-3 | FKF Premier League |
| Nov 1, 2015 | Nakuru AllStars(away) | 0-0 | FKF Premier League |
| Oct 24, 2015 | Nairobi City Stars(home) | 0-1 | FKF Premier League |
| Oct 18, 2015 | Muhoroni Youth(home) | 1-1 | FKF Premier League |
What does the head-to-head say?
Across the last 4 meetings: 3 Sony Sugar win(s), 0 draw(s), 1 KRA win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | KRA 1-0 Sony Sugar | FKF Premier League |
| Mar 29, 2015 | Sony Sugar 1-0 KRA | FKF Premier League |
| Sep 19, 2014 | KRA 0-1 Sony Sugar | FKF Premier League |
| Mar 15, 2014 | Sony Sugar 2-0 KRA | FKF Premier League |
How many goals should we expect?
Sony Sugar score 0.9 and concede 0.7 goals per match over their last 15; KRA score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.9 | 0.7 | 6 | 6/15 | 4/15 |
| KRA | 0.7 | 1.3 | 3 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy