Sofapaka vs KRA: result 3-2 and analysis
FKF Premier LeagueRegular Season - 27Kick-off on October 16, 2014 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of Sofapaka vs KRA?
Sofapaka won 3-2 on October 16, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sofapaka have 8 wins, 5 draws and 2 defeats; KRA have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2014 | Sony Sugar(away) | 2-2 | FKF Premier League |
| Sep 21, 2014 | Muhoroni Youth(home) | 1-0 | FKF Premier League |
| Sep 12, 2014 | Nairobi City Stars(away) | 1-0 | FKF Premier League |
| Aug 27, 2014 | Mathare United(home) | 1-0 | FKF Premier League |
| Aug 15, 2014 | Nakuru AllStars(away) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Muhoroni Youth(away) | 1-3 | FKF Premier League |
| Sep 19, 2014 | Sony Sugar(home) | 0-1 | FKF Premier League |
| Sep 14, 2014 | Mathare United(away) | 0-2 | FKF Premier League |
| Aug 22, 2014 | KCB(away) | 0-1 | FKF Premier League |
| Aug 13, 2014 | Ulinzi Stars(home) | 2-3 | FKF Premier League |
What does the head-to-head say?
In the last meeting: 1 Sofapaka win, 0 draws, 0 KRA wins.
| Date | Score | Competition |
|---|---|---|
| Mar 23, 2014 | KRA 0-3 Sofapaka | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.2 and concede 0.6 goals per match over their last 15; KRA score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.2 | 0.6 | 9 | 5/15 | 4/15 |
| KRA | 0.9 | 1.5 | 2 | 7/15 | 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 |
A question about Sofapaka vs KRA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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