Sofapaka vs Thika United: result 0-1 and analysis
FKF Premier LeagueRegular Season - 11Kick-off on April 22, 2012 at 01:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Sofapaka vs Thika United?
Thika United won 0-1 on April 22, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sofapaka have 6 wins, 2 draws and 2 defeats; Thika United have 3, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 26, 2012 | Ulinzi Stars(home) | 3-2 | FKF Premier League |
| Mar 18, 2012 | Western Stima(away) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | AFC Leopards(home) | 1-2 | FKF Premier League |
| Apr 8, 2012 | KCB(home) | 1-1 | FKF Premier League |
| Mar 31, 2012 | Karuturi Sports(away) | 1-0 | FKF Premier League |
| Mar 25, 2012 | Posta Rangers FC(away) | 6-0 | FKF Premier League |
| Mar 18, 2012 | Sony Sugar(home) | 1-0 | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.2 and concede 0.7 goals per match over their last 10; Thika United score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.2 | 0.7 | 4 | 4/10 | 4/10 |
| Thika United | 1.3 | 0.8 | 5 | 4/10 | 3/10 |
Over the last 10 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 Sofapaka vs Thika 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