AFC Leopards vs Sony Sugar: result 1-1 and analysis
FKF Premier LeagueRegular Season - 14Kick-off on June 20, 2012 at 12:00 PM (UTC)Mumias Sports Complex, Mumias
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What was the result of AFC Leopards vs Sony Sugar?
AFC Leopards and Sony Sugar drew 1-1 on June 20, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, AFC Leopards have 8 wins, 3 draws and 3 defeats; Sony Sugar have 4, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2012 | Sofapaka(away) | 1-2 | FKF Premier League |
| May 5, 2012 | Nairobi City Stars(away) | 0-3 | FKF Premier League |
| Apr 29, 2012 | Karuturi Sports(away) | 1-1 | FKF Premier League |
| Apr 21, 2012 | Tusker(home) | 0-2 | FKF Premier League |
| Apr 14, 2012 | Thika United(away) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 14, 2012 | Muhoroni Youth(away) | 0-1 | FKF Premier League |
How many goals should we expect?
AFC Leopards score 1.6 and concede 1.0 goals per match over their last 14; 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 |
|---|---|---|---|---|---|
| AFC Leopards | 1.6 | 1.0 | 5 | 7/14 | 7/14 |
| Sony Sugar | 0.9 | 1.0 | 3 | 6/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | AFC Leopards | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about AFC Leopards 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