Tusker vs Sony Sugar: result 1-0 and analysis
FKF Premier LeagueRegular Season - 22Kick-off on August 18, 2012 at 11:00 AM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Tusker vs Sony Sugar?
Tusker won 1-0 on August 18, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tusker have 8 wins, 5 draws and 2 defeats; Sony Sugar have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2012 | Mathare United(away) | 0-1 | FKF Premier League |
| Jul 7, 2012 | Chemelil Sugar(away) | 1-1 | FKF Premier League |
| Jun 30, 2012 | Posta Rangers FC(home) | 2-0 | FKF Premier League |
| Jun 24, 2012 | Oserian(home) | 3-1 | FKF Premier League |
| May 20, 2012 | Oserian(away) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2012 | Muhoroni Youth(home) | 1-0 | FKF Premier League |
| Jul 27, 2012 | Posta Rangers FC(away) | 0-1 | FKF Premier League |
| Jul 21, 2012 | Ulinzi Stars(home) | 1-0 | FKF Premier League |
| Jul 15, 2012 | Karuturi Sports(away) | 0-1 | FKF Premier League |
| Jul 7, 2012 | AFC Leopards(home) | 0-1 | FKF Premier League |
What does the head-to-head say?
In the last meeting: 1 Tusker win, 0 draws, 0 Sony Sugar wins.
| Date | Score | Competition |
|---|---|---|
| Apr 8, 2012 | Sony Sugar 0-1 Tusker | FKF Premier League |
How many goals should we expect?
Tusker score 1.5 and concede 0.7 goals per match over their last 15; Sony Sugar score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tusker | 1.5 | 0.7 | 8 | 5/15 | 4/15 |
| Sony Sugar | 0.7 | 0.7 | 6 | 4/15 | 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 Tusker 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