Homeboyz vs Police: prediction and stats
FKF Premier LeagueRegular Season - 4Kick-off on October 12, 2022 at 12:00 PM (UTC)Bukhungu Stadium, Kakamega
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Homeboyz have 7 wins, 5 draws and 3 defeats; Police have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2022 | Kariobangi Sharks(home) | 2-0 | FKF Premier League |
| Jun 5, 2022 | Talanta(away) | 2-0 | FKF Premier League |
| May 29, 2022 | AFC Leopards(home) | 0-2 | FKF Premier League |
| May 21, 2022 | GOR Mahia(away) | 1-1 | FKF Premier League |
| May 15, 2022 | KCB(home) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2022 | SONABEL(away) | 0-2 | Ligue 1 |
| Oct 7, 2022 | RC Bobo-Dioulasso(home) | 0-0 | Ligue 1 |
| Sep 24, 2022 | Réal du Faso(home) | 0-0 | Ligue 1 |
| Sep 17, 2022 | Majestic(away) | 0-0 | Ligue 1 |
| May 28, 2022 | Posta Rangers FC(home) | 2-1 | FKF Premier League |
How many goals should we expect?
Homeboyz score 1.5 and concede 0.9 goals per match over their last 15; Police score 0.5 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Homeboyz | 1.5 | 0.9 | 5 | 8/15 | 5/15 |
| Police | 0.5 | 0.4 | 10 | 2/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Homeboyz sit 17th in FKF Premier League (5 points from 5 matches) and Police sit 9th (1 point from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Police | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 17 | Homeboyz | 5 | 1 | 2 | 2 | 4 | 6 | 5 |
A question about Homeboyz vs Police?
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