Kariobangi Sharks vs Sony Sugar: result 2-0 and analysis
FKF Premier LeagueMatchday 9Kick-off on May 5, 2017 at 01:15 PM (UTC)Police Sacco Stadium, Nairobi
Full time
What was the result of Kariobangi Sharks vs Sony Sugar?
Kariobangi Sharks won 2-0 on May 5, 2017.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kariobangi Sharks have 3 wins, 1 draw and 4 defeats; Sony Sugar have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Chemelil Sugar(away) | 1-1 | FKF Premier League |
| Apr 26, 2017 | Thika United(home) | 1-0 | FKF Premier League |
| Apr 22, 2017 | Posta Rangers FC(away) | 0-1 | FKF Premier League |
| Apr 17, 2017 | Nakumatt(home) | 1-0 | FKF Premier League |
| Apr 9, 2017 | Nzoia Sugar(away) | 2-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Nzoia Sugar(away) | 1-1 | FKF Premier League |
| Apr 26, 2017 | Posta Rangers FC(home) | 0-1 | FKF Premier League |
| Apr 22, 2017 | Muhoroni Youth(away) | 0-2 | FKF Premier League |
| Apr 15, 2017 | GOR Mahia(home) | 1-2 | FKF Premier League |
| Apr 8, 2017 | Nakumatt(away) | 0-0 | FKF Premier League |
How many goals should we expect?
Kariobangi Sharks score 0.8 and concede 0.9 goals per match over their last 8; Sony Sugar score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kariobangi Sharks | 0.8 | 0.9 | 3 | 2/8 | 1/8 |
| Sony Sugar | 0.7 | 0.9 | 5 | 6/15 | 4/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Kariobangi Sharks | 34 | 8 | 14 | 12 | 30 | 33 | 38 |
A question about Kariobangi Sharks vs Sony Sugar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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