Sony Sugar vs Homeboyz: result 0-0 and analysis
FKF Premier LeagueRegular Season - 15Kick-off on June 29, 2013 at 12:00 PM (UTC)Green Stadium, Awendo
Full time
What was the result of Sony Sugar vs Homeboyz?
Sony Sugar and Homeboyz drew 0-0 on June 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sony Sugar have 3 wins, 6 draws and 6 defeats; Homeboyz have 1, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2013 | Muhoroni Youth(away) | 1-1 | FKF Premier League |
| May 26, 2013 | Karuturi Sports(home) | 1-0 | FKF Premier League |
| May 19, 2013 | Western Stima(home) | 2-1 | FKF Premier League |
| May 11, 2013 | Ulinzi Stars(away) | 0-1 | FKF Premier League |
| May 6, 2013 | Thika United(home) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2013 | Tusker(home) | 1-5 | FKF Premier League |
| May 25, 2013 | Nairobi City Stars(away) | 0-1 | FKF Premier League |
| May 19, 2013 | KCB(home) | 1-1 | FKF Premier League |
| May 11, 2013 | Mathare United(away) | 1-1 | FKF Premier League |
| May 4, 2013 | Sofapaka(away) | 0-0 | FKF Premier League |
How many goals should we expect?
Sony Sugar score 0.7 and concede 1.2 goals per match over their last 15; Homeboyz score 0.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.7 | 1.2 | 4 | 7/15 | 4/15 |
| Homeboyz | 0.6 | 1.4 | 4 | 6/14 | 5/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Homeboyz | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
A question about Sony Sugar vs Homeboyz?
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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