KCB vs Sony Sugar: result 0-1 and analysis
FKF Premier LeagueRegular Season - 16Kick-off on June 24, 2012 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of KCB vs Sony Sugar?
Sony Sugar won 0-1 on June 24, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCB have 5 wins, 3 draws and 7 defeats; Sony Sugar have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | Sony Sugar(away) | 0-1 | FKF Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2012 | AFC Leopards(away) | 1-1 | FKF Premier League |
| May 19, 2012 | KCB(home) | 1-0 | FKF Premier League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 KCB wins, 0 draws, 1 Sony Sugar win.
| Date | Score | Competition |
|---|---|---|
| May 19, 2012 | Sony Sugar 1-0 KCB | FKF Premier League |
How many goals should we expect?
KCB score 1.2 and concede 1.1 goals per match over their last 15; Sony Sugar score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCB | 1.2 | 1.1 | 5 | 7/15 | 8/15 |
| Sony Sugar | 0.9 | 1.0 | 3 | 7/15 | 5/15 |
Over the last 15 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 KCB vs Sony Sugar?
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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