KRA vs Sony Sugar: result 2-1 and analysis
FKF Premier LeagueRegular Season - 16Kick-off on July 2, 2016 at 11:00 AM (UTC)Nyayo National Stadium, Nairobi
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What was the result of KRA vs Sony Sugar?
KRA won 2-1 on July 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KRA have 4 wins, 5 draws and 6 defeats; Sony Sugar have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2016 | Western Stima(away) | 3-1 | FKF Premier League |
| May 21, 2016 | Bandari(home) | 0-4 | FKF Premier League |
| May 15, 2016 | Homeboyz(home) | 1-0 | FKF Premier League |
| May 7, 2016 | Nairobi City Stars(away) | 0-0 | FKF Premier League |
| Apr 28, 2016 | Posta Rangers FC(home) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2016 | Nairobi City Stars(home) | 2-0 | FKF Premier League |
| May 21, 2016 | Tusker(away) | 1-1 | FKF Premier League |
| May 14, 2016 | Thika United(home) | 1-0 | FKF Premier League |
| May 7, 2016 | Sofapaka(away) | 1-0 | FKF Premier League |
| Apr 28, 2016 | Homeboyz(home) | 1-0 | FKF Premier League |
What does the head-to-head say?
Across the last 5 meetings: 2 KRA win(s), 0 draw(s), 3 Sony Sugar win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2016 | Sony Sugar 0-1 KRA | FKF Premier League |
| 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?
KRA score 0.8 and concede 1.1 goals per match over their last 15; Sony Sugar score 0.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRA | 0.8 | 1.1 | 4 | 6/15 | 5/15 |
| Sony Sugar | 0.6 | 0.6 | 7 | 3/15 | 1/15 |
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