GOR Mahia vs Sofapaka: result 1-0 and analysis
FKF Premier LeagueRegular Season - 10Kick-off on April 15, 2012 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of GOR Mahia vs Sofapaka?
GOR Mahia won 1-0 on April 15, 2012.
What is the recent form of both teams?
Over their last 9 matches in all competitions, GOR Mahia have 1 win, 4 draws and 4 defeats; Sofapaka have 6, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2012 | Oserian(away) | 0-1 | FKF Premier League |
| Apr 4, 2012 | Mathare United(home) | 1-1 | FKF Premier League |
| Mar 25, 2012 | Sony Sugar(away) | 0-0 | FKF Premier League |
| Mar 21, 2012 | Posta Rangers FC(home) | 1-1 | FKF Premier League |
| Mar 18, 2012 | AFC Leopards(home) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2012 | Nairobi City Stars(home) | 2-0 | FKF Premier League |
| Mar 31, 2012 | Chemelil Sugar(away) | 0-1 | FKF Premier League |
| Mar 26, 2012 | Ulinzi Stars(home) | 3-2 | FKF Premier League |
| Mar 18, 2012 | Western Stima(away) | 2-1 | FKF Premier League |
| Mar 10, 2012 | Oserian(away) | 0-0 | FKF Premier League |
How many goals should we expect?
GOR Mahia score 0.4 and concede 0.8 goals per match over their last 9; Sofapaka score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GOR Mahia | 0.4 | 0.8 | 3 | 2/9 | 0/9 |
| Sofapaka | 1.3 | 0.7 | 4 | 4/9 | 4/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | GOR Mahia | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
A question about GOR Mahia 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