AFC Leopards vs Nzoia Sugar: result 2-1 and analysis
FKF Premier LeagueRegular Season - 3Kick-off on April 1, 2017 at 01:15 PM (UTC)Nyayo National Stadium, Nairobi
Full time
What was the result of AFC Leopards vs Nzoia Sugar?
AFC Leopards won 2-1 on April 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFC Leopards have 3 wins, 4 draws and 8 defeats; Nzoia Sugar have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Nakumatt(away) | 0-3 | FKF Premier League |
| Nov 19, 2016 | Muhoroni Youth(home) | 1-2 | FKF Premier League |
| Nov 6, 2016 | Tusker(away) | 0-1 | FKF Premier League |
| Oct 28, 2016 | Sofapaka(away) | 2-3 | FKF Premier League |
| Oct 23, 2016 | GOR Mahia(home) | 0-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Mathare United(home) | 0-0 | FKF Premier League |
| Mar 11, 2017 | Tusker(away) | 5-2 | FKF Premier League |
How many goals should we expect?
AFC Leopards score 1.1 and concede 1.6 goals per match over their last 15; Nzoia Sugar score 2.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFC Leopards | 1.1 | 1.6 | 3 | 8/15 | 8/15 |
| Nzoia Sugar | 2.5 | 1.0 | 1 | 1/2 | 1/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AFC Leopards | 2 | 1 | 1 | 0 | 2 | 1 | 4 |
A question about AFC Leopards vs Nzoia 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