Chemelil Sugar vs Homeboyz: result 1-0 and analysis
FKF Premier LeagueRegular Season - 8Kick-off on April 13, 2013 at 12:00 PM (UTC)Chemelil Sports Complex, Chemelil
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What was the result of Chemelil Sugar vs Homeboyz?
Chemelil Sugar won 1-0 on April 13, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chemelil Sugar have 5 wins, 9 draws and 1 defeat; Homeboyz have 1, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | Thika United(away) | 1-2 | FKF Premier League |
| Mar 23, 2013 | Nairobi City Stars(away) | 2-1 | FKF Premier League |
| Mar 16, 2013 | Sofapaka(home) | 0-0 | FKF Premier League |
| Mar 9, 2013 | Sony Sugar(away) | 2-0 | FKF Premier League |
| Mar 1, 2013 | Mathare United(away) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2013 | Ulinzi Stars(away) | 0-0 | FKF Premier League |
| Apr 3, 2013 | AFC Leopards(home) | 0-3 | FKF Premier League |
| Mar 30, 2013 | Western Stima(away) | 0-1 | FKF Premier League |
| Mar 17, 2013 | Bandari(home) | 2-3 | FKF Premier League |
| Mar 10, 2013 | Thika United(away) | 1-2 | FKF Premier League |
How many goals should we expect?
Chemelil Sugar score 0.9 and concede 0.6 goals per match over their last 15; Homeboyz score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chemelil Sugar | 0.9 | 0.6 | 8 | 7/15 | 3/15 |
| Homeboyz | 1.0 | 1.7 | 1 | 3/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Homeboyz | 4 | 1 | 1 | 2 | 2 | 4 | 4 |
A question about Chemelil Sugar vs Homeboyz?
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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