GOR Mahia vs Chemelil Sugar: result 1-0 and analysis
FKF Premier LeagueMatchday 13Kick-off on May 6, 2012 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
Full time
What was the result of GOR Mahia vs Chemelil Sugar?
GOR Mahia won 1-0 on May 6, 2012.
What is the recent form of both teams?
Over their last 12 matches in all competitions, GOR Mahia have 3 wins, 4 draws and 5 defeats; Chemelil Sugar have 6, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2012 | Nairobi City Stars(home) | 2-1 | FKF Premier League |
| Apr 21, 2012 | Ulinzi Stars(away) | 0-1 | FKF Premier League |
| Apr 15, 2012 | Sofapaka(home) | 1-0 | FKF Premier League |
| Apr 8, 2012 | Oserian(away) | 0-1 | FKF Premier League |
| Apr 4, 2012 | Mathare United(home) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2012 | Western Stima(home) | 0-1 | FKF Premier League |
| Apr 22, 2012 | Nairobi City Stars(away) | 0-0 | FKF Premier League |
| Apr 15, 2012 | KCB(home) | 1-0 | FKF Premier League |
| Apr 7, 2012 | Ulinzi Stars(away) | 1-2 | FKF Premier League |
| Mar 31, 2012 | Sofapaka(home) | 1-0 | FKF Premier League |
How many goals should we expect?
GOR Mahia score 0.6 and concede 0.8 goals per match over their last 12; Chemelil Sugar score 0.7 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GOR Mahia | 0.6 | 0.8 | 4 | 3/12 | 1/12 |
| Chemelil Sugar | 0.7 | 0.4 | 9 | 1/12 | 1/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | GOR Mahia | 6 | 4 | 1 | 1 | 9 | 5 | 13 |
A question about GOR Mahia vs Chemelil 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