Kenya Police vs Sofapaka: result 0-2 and analysis
FKF Premier LeagueRegular Season - 6Kick-off on December 4, 2021 at 12:00 PM (UTC)Kasarani Annex Stadium, Nairobi
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What was the result of Kenya Police vs Sofapaka?
Sofapaka won 0-2 on December 4, 2021.
Goalscorers
- 32′?Sofapaka
- 77′?Sofapaka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kenya Police have 4 wins, 4 draws and 7 defeats; Sofapaka have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | GOR Mahia(home) | 1-1 | FKF Premier League |
| Nov 3, 2021 | Tusker(home) | 1-2 | FKF Premier League |
| Oct 30, 2021 | KCB(away) | 1-2 | FKF Premier League |
| Oct 20, 2021 | Nzoia Sugar(home) | 3-1 | FKF Premier League |
| Oct 16, 2021 | Nairobi City Stars(home) | 0-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | AFC Leopards(home) | 1-0 | FKF Premier League |
| Oct 30, 2021 | GOR Mahia(away) | 0-1 | FKF Premier League |
| Oct 24, 2021 | KCB(home) | 1-2 | FKF Premier League |
| Oct 20, 2021 | Mathare United(home) | 1-2 | FKF Premier League |
| Oct 15, 2021 | Nzoia Sugar(away) | 0-0 | FKF Premier League |
How many goals should we expect?
Kenya Police score 1.1 and concede 1.1 goals per match over their last 15; Sofapaka score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kenya Police | 1.1 | 1.1 | 4 | 8/15 | 6/15 |
| Sofapaka | 1.1 | 1.0 | 6 | 8/15 | 8/15 |
Over the last 15 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 Kenya Police vs Sofapaka?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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