Chemelil Sugar vs Sofapaka: result 1-0 and analysis
FKF Premier LeagueRegular Season - 8Kick-off on March 31, 2012 at 12:00 PM (UTC)Chemelil Sports Complex, Chemelil
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What was the result of Chemelil Sugar vs Sofapaka?
Chemelil Sugar won 1-0 on March 31, 2012.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Chemelil Sugar have 4 wins, 2 draws and 1 defeat; Sofapaka have 5, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2012 | Oserian(away) | 1-0 | FKF Premier League |
| Mar 17, 2012 | Mathare United(home) | 1-0 | FKF Premier League |
| Mar 11, 2012 | Karuturi Sports(away) | 0-2 | FKF Premier League |
| Mar 3, 2012 | Sony Sugar(home) | 2-0 | FKF Premier League |
| Feb 26, 2012 | Muhoroni Youth(away) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2012 | Ulinzi Stars(home) | 3-2 | FKF Premier League |
| Mar 18, 2012 | Western Stima(away) | 2-1 | FKF Premier League |
| Mar 10, 2012 | Oserian(away) | 0-0 | FKF Premier League |
| Mar 5, 2012 | Posta Rangers FC(home) | 2-1 | FKF Premier League |
| Feb 25, 2012 | Sony Sugar(away) | 1-0 | FKF Premier League |
How many goals should we expect?
Chemelil Sugar score 0.7 and concede 0.3 goals per match over their last 7; Sofapaka score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chemelil Sugar | 0.7 | 0.3 | 6 | 0/7 | 0/7 |
| Sofapaka | 1.4 | 0.7 | 3 | 4/7 | 4/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Sofapaka | 34 | 3 | 10 | 21 | 19 | 51 | 19 |
A question about Chemelil Sugar vs Sofapaka?
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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