Sony Sugar vs Chemelil Sugar: result 0-1 and analysis
FKF Premier LeagueRegular Season - 27Kick-off on October 20, 2012 at 12:00 PM (UTC)Green Stadium, Awendo
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What was the result of Sony Sugar vs Chemelil Sugar?
Chemelil Sugar won 0-1 on October 20, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sony Sugar have 7 wins, 2 draws and 6 defeats; Chemelil Sugar have 1, 9 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | Nairobi City Stars(away) | 1-0 | FKF Premier League |
| Sep 23, 2012 | Thika United(home) | 3-0 | FKF Premier League |
| Sep 9, 2012 | GOR Mahia(away) | 0-1 | FKF Premier League |
| Aug 25, 2012 | Western Stima(home) | 2-0 | FKF Premier League |
| Aug 18, 2012 | Tusker(away) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2012 | Karuturi Sports(home) | 0-0 | FKF Premier League |
| Sep 21, 2012 | Mathare United(away) | 2-2 | FKF Premier League |
| Sep 16, 2012 | Oserian(home) | 1-1 | FKF Premier League |
| Sep 1, 2012 | Ulinzi Stars(home) | 1-0 | FKF Premier League |
| Aug 25, 2012 | Sofapaka(away) | 1-1 | FKF Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sony Sugar win(s), 0 draw(s), 1 Chemelil Sugar win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 3, 2012 | Chemelil Sugar 2-0 Sony Sugar | FKF Premier League |
Last archived meeting: Chemelil Sugar vs Sony Sugar on Mar 3, 2012
How many goals should we expect?
Sony Sugar score 0.8 and concede 0.5 goals per match over their last 15; Chemelil Sugar score 0.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.8 | 0.5 | 8 | 2/15 | 2/15 |
| Chemelil Sugar | 0.5 | 0.9 | 5 | 6/15 | 2/15 |
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