Sofapaka vs Nairobi City Stars: result 2-0 and analysis
FKF Premier LeagueRegular Season - 9Kick-off on April 7, 2012 at 01:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Sofapaka vs Nairobi City Stars?
Sofapaka won 2-0 on April 7, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Sofapaka have 5 wins, 2 draws and 1 defeat; Nairobi City Stars have 1, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 5, 2012 | Posta Rangers FC(home) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2012 | Oserian(home) | 1-0 | FKF Premier League |
| Mar 24, 2012 | Mathare United(away) | 0-1 | FKF Premier League |
| Mar 17, 2012 | Muhoroni Youth(home) | 1-2 | FKF Premier League |
| Mar 10, 2012 | Sony Sugar(away) | 1-1 | FKF Premier League |
| Mar 2, 2012 | KCB(away) | 0-4 | FKF Premier League |
How many goals should we expect?
Sofapaka score 1.3 and concede 0.8 goals per match over their last 8; Nairobi City Stars score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sofapaka | 1.3 | 0.8 | 3 | 4/8 | 4/8 |
| Nairobi City Stars | 0.5 | 1.3 | 3 | 3/8 | 3/8 |
Over the last 8 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 Nairobi City Stars?
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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