Petaling Jaya City vs Kuantan FA: result 6-3 and analysis
Premier LeagueRegular Season - 18Kick-off on July 25, 2017 at 08:45 AM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Kuantan FA?
Petaling Jaya City won 6-3 on July 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petaling Jaya City have 2 wins, 2 draws and 11 defeats; Kuantan FA have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2017 | Sabah FA(away) | 1-2 | Premier League |
| Jul 14, 2017 | Negeri Sembilan(home) | 0-0 | Premier League |
| Jul 10, 2017 | UiTM FC(away) | 3-3 | Premier League |
| Jun 30, 2017 | Kuala Lumpur FA(home) | 1-2 | Premier League |
| May 24, 2017 | Perlis(home) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2017 | Negeri Sembilan(away) | 0-3 | Premier League |
| Jul 14, 2017 | Kuala Lumpur FA(home) | 3-6 | Premier League |
| Jul 10, 2017 | Perlis(away) | 1-3 | Premier League |
| Jun 30, 2017 | ATM FA(home) | 3-1 | Premier League |
| May 24, 2017 | Sabah FA(home) | 3-3 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Petaling Jaya City win(s), 0 draw(s), 1 Kuantan FA win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 17, 2017 | Kuantan FA 3-2 Petaling Jaya City | Premier League |
Last archived meeting: Kuantan FA vs Petaling Jaya City on Feb 17, 2017
How many goals should we expect?
Petaling Jaya City score 1.6 and concede 2.5 goals per match over their last 15; Kuantan FA score 2.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 1.6 | 2.5 | 1 | 13/15 | 13/15 |
| Kuantan FA | 2.0 | 2.7 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy