Sofapaka vs AFC Leopards: result 2-1 and analysis
FKF Premier LeagueRegular Season - 15Kick-off on May 16, 2012 at 04:00 PM (UTC)Kasarani Annex Stadium, Nairobi
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What was the result of Sofapaka vs AFC Leopards?
Sofapaka won 2-1 on May 16, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sofapaka have 9 wins, 2 draws and 3 defeats; AFC Leopards have 8, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Muhoroni Youth(away) | 2-0 | FKF Premier League |
| May 7, 2012 | Mathare United(home) | 2-0 | FKF Premier League |
| Apr 30, 2012 | Tusker(away) | 1-0 | FKF Premier League |
| Apr 22, 2012 | Thika United(home) | 0-1 | FKF Premier League |
| Apr 15, 2012 | GOR Mahia(away) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Nairobi City Stars(away) | 0-3 | FKF Premier League |
| Apr 29, 2012 | Karuturi Sports(away) | 1-1 | FKF Premier League |
| Apr 21, 2012 | Tusker(home) | 0-2 | FKF Premier League |
| Apr 14, 2012 | Thika United(away) | 2-1 | FKF Premier League |
| Apr 8, 2012 | Posta Rangers FC(home) | 6-2 | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.2 and concede 0.6 goals per match over their last 14; AFC Leopards score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.2 | 0.6 | 7 | 4/14 | 4/14 |
| AFC Leopards | 1.6 | 0.9 | 5 | 6/13 | 6/13 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | AFC Leopards | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Sofapaka vs AFC Leopards?
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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