KRA vs Sofapaka: result 0-3 and analysis
FKF Premier LeagueRegular Season - 6Kick-off on March 23, 2014 at 01:15 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of KRA vs Sofapaka?
Sofapaka won 0-3 on March 23, 2014.
What is the recent form of both teams?
Over their last 5 matches in all competitions, KRA have 2 wins, 1 draw and 2 defeats; Sofapaka have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2014 | Sony Sugar(away) | 0-2 | FKF Premier League |
| Mar 8, 2014 | Muhoroni Youth(home) | 1-0 | FKF Premier League |
| Mar 2, 2014 | Ulinzi Stars(away) | 0-0 | FKF Premier League |
| Feb 22, 2014 | KCB(home) | 1-0 | FKF Premier League |
| Feb 16, 2014 | Bandari(away) | 0-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2014 | AFC Leopards(home) | 0-0 | FKF Premier League |
| Mar 9, 2014 | Chemelil Sugar(away) | 0-1 | FKF Premier League |
| Mar 1, 2014 | Nakuru AllStars(home) | 3-0 | FKF Premier League |
| Feb 23, 2014 | Sony Sugar(home) | 0-1 | FKF Premier League |
| Feb 15, 2014 | Muhoroni Youth(away) | 5-1 | FKF Premier League |
How many goals should we expect?
KRA score 0.4 and concede 0.8 goals per match over their last 5; Sofapaka score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRA | 0.4 | 0.8 | 3 | 0/5 | 0/5 |
| Sofapaka | 1.5 | 0.5 | 8 | 4/15 | 7/15 |
Over the last 5 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 KRA 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