Sofapaka vs Mathare United: result 2-0 and analysis
FKF Premier LeagueRegular Season - 13Kick-off on May 7, 2012 at 04:00 PM (UTC)Kasarani Annex Stadium, Nairobi
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What was the result of Sofapaka vs Mathare United?
Sofapaka won 2-0 on May 7, 2012.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sofapaka have 7 wins, 2 draws and 3 defeats; Mathare United have 2, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 7, 2012 | Nairobi City Stars(home) | 2-0 | FKF Premier League |
| Mar 31, 2012 | Chemelil Sugar(away) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2012 | Posta Rangers FC(home) | 1-1 | FKF Premier League |
| Apr 21, 2012 | Western Stima(home) | 0-0 | FKF Premier League |
| Apr 15, 2012 | Tusker(away) | 2-2 | FKF Premier League |
| Apr 7, 2012 | Muhoroni Youth(home) | 2-1 | FKF Premier League |
| Apr 4, 2012 | GOR Mahia(away) | 1-1 | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.1 and concede 0.7 goals per match over their last 12; Mathare United score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.1 | 0.7 | 5 | 4/12 | 4/12 |
| Mathare United | 0.9 | 1.3 | 2 | 7/12 | 5/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Mathare United | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Sofapaka vs Mathare United?
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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