Chemelil Sugar vs Posta Rangers FC: result 1-1 and analysis
FKF Premier LeagueRegular Season - 15Kick-off on May 20, 2012 at 11:00 AM (UTC)Chemelil Sports Complex, Chemelil
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What was the result of Chemelil Sugar vs Posta Rangers FC?
Chemelil Sugar and Posta Rangers FC drew 1-1 on May 20, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Chemelil Sugar have 6 wins, 3 draws and 5 defeats; Posta Rangers FC have 1, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2012 | Tusker(away) | 0-2 | FKF Premier League |
| May 6, 2012 | GOR Mahia(away) | 0-1 | FKF Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2012 | Ulinzi Stars(home) | 0-3 | FKF Premier League |
| May 5, 2012 | Tusker(home) | 2-4 | FKF Premier League |
| Apr 29, 2012 | Mathare United(away) | 1-1 | FKF Premier League |
| Apr 25, 2012 | KCB(home) | 0-0 | FKF Premier League |
| Apr 21, 2012 | Sony Sugar(away) | 1-3 | FKF Premier League |
How many goals should we expect?
Chemelil Sugar score 0.6 and concede 0.6 goals per match over their last 14; Posta Rangers FC score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chemelil Sugar | 0.6 | 0.6 | 9 | 1/14 | 1/14 |
| Posta Rangers FC | 0.9 | 2.1 | 4 | 8/14 | 8/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Posta Rangers FC | 34 | 9 | 13 | 12 | 31 | 40 | 40 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy