Sofapaka vs KRA: result 2-1 and analysis
FKF Premier LeagueRegular Season - 1Kick-off on February 22, 2015 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of Sofapaka vs KRA?
Sofapaka won 2-1 on February 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sofapaka have 9 wins, 5 draws and 1 defeats; KRA have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2014 | Tusker(away) | 2-2 | FKF Premier League |
| Nov 1, 2014 | AFC Leopards(away) | 2-1 | FKF Premier League |
| Oct 26, 2014 | GOR Mahia(home) | 3-2 | FKF Premier League |
| Oct 16, 2014 | KRA(home) | 3-2 | FKF Premier League |
| Oct 5, 2014 | Sony Sugar(away) | 2-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2014 | GOR Mahia(away) | 0-3 | FKF Premier League |
| Nov 1, 2014 | Chemelil Sugar(home) | 0-2 | FKF Premier League |
| Oct 24, 2014 | Tusker(home) | 0-2 | FKF Premier League |
| Oct 16, 2014 | Sofapaka(away) | 2-3 | FKF Premier League |
| Oct 4, 2014 | Muhoroni Youth(away) | 1-3 | FKF Premier League |
What does the head-to-head say?
Across the last 2 meetings: 2 Sofapaka win(s), 0 draw(s), 0 KRA win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2014 | Sofapaka 3-2 KRA | FKF Premier League |
| Mar 23, 2014 | KRA 0-3 Sofapaka | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.5 and concede 0.9 goals per match over their last 15; KRA score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.5 | 0.9 | 7 | 7/15 | 6/15 |
| KRA | 0.8 | 1.8 | 1 | 6/15 | 7/15 |
Over the last 15 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 |
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