Sony Sugar vs Tusker: result 1-0 and analysis
FKF Premier LeagueRegular Season - 8Kick-off on April 14, 2013 at 12:00 PM (UTC)Green Stadium, Awendo
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What was the result of Sony Sugar vs Tusker?
Sony Sugar won 1-0 on April 14, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sony Sugar have 4 wins, 4 draws and 7 defeats; Tusker have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | Sofapaka(home) | 0-2 | FKF Premier League |
| Mar 30, 2013 | Nairobi City Stars(away) | 1-2 | FKF Premier League |
| Mar 23, 2013 | Bandari(away) | 0-3 | FKF Premier League |
| Mar 16, 2013 | KCB(home) | 1-1 | FKF Premier League |
| Mar 9, 2013 | Chemelil Sugar(home) | 0-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | Bandari(home) | 2-1 | FKF Premier League |
| Mar 13, 2013 | Karuturi Sports(home) | 1-1 | FKF Premier League |
| Mar 9, 2013 | KCB(home) | 0-0 | FKF Premier League |
| Nov 10, 2012 | Nairobi City Stars(away) | 3-0 | FKF Premier League |
| Nov 4, 2012 | Western Stima(home) | 2-0 | FKF Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sony Sugar wins, 0 draws, 2 Tusker wins.
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2012 | Tusker 1-0 Sony Sugar | FKF Premier League |
| Apr 8, 2012 | Sony Sugar 0-1 Tusker | FKF Premier League |
How many goals should we expect?
Sony Sugar score 0.8 and concede 1.1 goals per match over their last 15; Tusker score 1.1 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 0.8 | 1.1 | 6 | 4/15 | 5/15 |
| Tusker | 1.1 | 0.3 | 10 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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