Sony Sugar vs Tusker: result 0-1 and analysis
FKF Premier LeagueRegular Season - 9Kick-off on April 8, 2012 at 12:00 PM (UTC)Green Stadium, Awendo
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What was the result of Sony Sugar vs Tusker?
Tusker won 0-1 on April 8, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Sony Sugar have 2 wins, 2 draws and 4 defeats; Tusker have 4, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2012 | Western Stima(away) | 1-2 | FKF Premier League |
| Mar 25, 2012 | GOR Mahia(home) | 0-0 | FKF Premier League |
| Mar 18, 2012 | Thika United(away) | 0-1 | FKF Premier League |
| Mar 10, 2012 | Nairobi City Stars(home) | 1-1 | FKF Premier League |
| Mar 3, 2012 | Chemelil Sugar(away) | 0-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2012 | Ulinzi Stars(away) | 2-0 | FKF Premier League |
| Mar 24, 2012 | KCB(home) | 0-0 | FKF Premier League |
| Mar 17, 2012 | Karuturi Sports(home) | 2-2 | FKF Premier League |
| Mar 14, 2012 | GOR Mahia(home) | 2-0 | FKF Premier League |
| Mar 11, 2012 | Thika United(away) | 0-0 | FKF Premier League |
How many goals should we expect?
Sony Sugar score 0.9 and concede 1.1 goals per match over their last 8; Tusker score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.9 | 1.1 | 1 | 4/8 | 3/8 |
| Tusker | 1.1 | 0.5 | 5 | 2/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
A question about Sony Sugar vs Tusker?
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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