Sofapaka vs Homeboyz: result 0-0 and analysis
FKF Premier LeagueRegular Season - 10Kick-off on May 4, 2013 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Sofapaka vs Homeboyz?
Sofapaka and Homeboyz drew 0-0 on May 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sofapaka have 6 wins, 6 draws and 3 defeats; Homeboyz have 1, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Nairobi City Stars(away) | 3-1 | FKF Premier League |
| Apr 13, 2013 | Western Stima(home) | 0-0 | FKF Premier League |
| Apr 7, 2013 | Sony Sugar(away) | 2-0 | FKF Premier League |
| Mar 31, 2013 | Karuturi Sports(home) | 4-2 | FKF Premier League |
| Mar 27, 2013 | Mathare United(home) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2013 | GOR Mahia(home) | 0-0 | FKF Premier League |
| Apr 20, 2013 | Muhoroni Youth(home) | 0-0 | FKF Premier League |
| Apr 13, 2013 | Chemelil Sugar(away) | 0-1 | FKF Premier League |
| Apr 6, 2013 | Ulinzi Stars(away) | 0-0 | FKF Premier League |
| Apr 3, 2013 | AFC Leopards(home) | 0-3 | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.3 and concede 0.8 goals per match over their last 15; Homeboyz score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.3 | 0.8 | 7 | 7/15 | 6/15 |
| Homeboyz | 0.7 | 1.2 | 3 | 3/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Homeboyz | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
A question about Sofapaka vs Homeboyz?
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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