Sony Sugar vs KCB: result 1-0 and analysis
FKF Premier LeagueRegular Season - 15Kick-off on May 19, 2012 at 11:00 AM (UTC)Green Stadium, Awendo
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What was the result of Sony Sugar vs KCB?
Sony Sugar won 1-0 on May 19, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sony Sugar have 3 wins, 3 draws and 7 defeats; KCB have 5, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | Karuturi Sports(home) | 0-0 | FKF Premier League |
| Apr 28, 2012 | Ulinzi Stars(away) | 1-2 | FKF Premier League |
| Apr 21, 2012 | Posta Rangers FC(home) | 3-1 | FKF Premier League |
| Apr 14, 2012 | Muhoroni Youth(away) | 0-1 | FKF Premier League |
| Apr 8, 2012 | Tusker(home) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | GOR Mahia(home) | 2-3 | FKF Premier League |
| May 5, 2012 | Muhoroni Youth(away) | 2-1 | FKF Premier League |
| Apr 29, 2012 | Oserian(home) | 3-0 | FKF Premier League |
| Apr 25, 2012 | Posta Rangers FC(away) | 0-0 | FKF Premier League |
| Apr 21, 2012 | Karuturi Sports(home) | 1-2 | FKF Premier League |
How many goals should we expect?
Sony Sugar score 0.8 and concede 1.1 goals per match over their last 13; KCB score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.8 | 1.1 | 2 | 6/13 | 5/13 |
| KCB | 1.3 | 1.1 | 5 | 7/14 | 8/14 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | KCB | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about Sony Sugar vs KCB?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy