Sony Sugar vs GOR Mahia: result 0-0 and analysis
FKF Premier LeagueRegular Season - 7Kick-off on March 25, 2012 at 12:00 PM (UTC)Afraha Stadium, Nakuru
Full time
What was the result of Sony Sugar vs GOR Mahia?
Sony Sugar and GOR Mahia drew 0-0 on March 25, 2012.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Sony Sugar have 2 wins, 1 draw and 3 defeats; GOR Mahia have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2012 | Thika United(away) | 0-1 | FKF Premier League |
| Mar 10, 2012 | Nairobi City Stars(home) | 1-1 | FKF Premier League |
| Mar 3, 2012 | Chemelil Sugar(away) | 0-2 | FKF Premier League |
| Feb 25, 2012 | Sofapaka(home) | 0-1 | FKF Premier League |
| Feb 19, 2012 | Oserian(away) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2012 | Posta Rangers FC(home) | 1-1 | FKF Premier League |
| Mar 18, 2012 | AFC Leopards(home) | 0-0 | FKF Premier League |
| Mar 14, 2012 | Tusker(away) | 0-2 | FKF Premier League |
| Mar 4, 2012 | Karuturi Sports(away) | 0-1 | FKF Premier League |
| Feb 22, 2012 | Muhoroni Youth(home) | 0-1 | FKF Premier League |
How many goals should we expect?
Sony Sugar score 1.0 and concede 1.2 goals per match over their last 6; GOR Mahia score 0.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sugar | 1.0 | 1.2 | 0 | 3/6 | 2/6 |
| GOR Mahia | 0.5 | 0.8 | 2 | 1/6 | 0/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | GOR Mahia | 5 | 4 | 0 | 1 | 8 | 4 | 12 |
A question about Sony Sugar vs GOR Mahia?
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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