Kenya Police vs APS Bomet: prediction and stats
FKF Premier LeagueRegular Season - 8Kick-off on October 24, 2026 at 12:00 PM (UTC)
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kenya Police have 5 wins, 6 draws and 4 defeats; APS Bomet have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2026 | AFC Leopards(home) | 1-2 | FKF Premier League |
| Jun 12, 2022 | Bandari(away) | 0-1 | FKF Premier League |
| Jun 5, 2022 | Vihiga Bullets(home) | 1-4 | FKF Premier League |
| May 21, 2022 | Bidco United(away) | 1-0 | FKF Premier League |
| Apr 24, 2022 | Homeboyz(home) | 2-2 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2026 | GOR Mahia(home) | 0-1 | FKF Premier League |
| Oct 10, 2026 | Mathare United(away) | 0-0 | FKF Premier League |
| May 31, 2026 | Tusker(away) | 1-1 | FKF Premier League |
| May 24, 2026 | AFC Leopards(home) | 2-1 | FKF Premier League |
| May 20, 2026 | Bandari(away) | 2-0 | FKF Premier League |
How many goals should we expect?
Kenya Police score 1.2 and concede 1.2 goals per match over their last 15; APS Bomet score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kenya Police | 1.2 | 1.2 | 5 | 8/15 | 7/15 |
| APS Bomet | 1.0 | 0.5 | 9 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kenya Police sit 13th in FKF Premier League (2 points from 3 matches) and APS Bomet sit 15th (2 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Kenya Police | 3 | 0 | 2 | 1 | 2 | 3 | 2 |
| 15 | APS Bomet | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
A question about Kenya Police vs APS Bomet?
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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