Pkns FC vs Petaling Jaya City: result 3-0 and analysis
Super LeagueRegular Season - 15Kick-off on May 25, 2019 at 02:00 PM (UTC)Stadium Shah Alam, Shah Alam
Full time
What was the result of Pkns FC vs Petaling Jaya City?
Pkns FC won 3-0 on May 25, 2019.
Goalscorers
- 50′G. GuerraPkns FC
- 53′K. ShermanPkns FC
- 73′K. ShermanPkns FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pkns FC have 4 wins, 4 draws and 7 defeats; Petaling Jaya City have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2019 | Johor Darul Takzim FC(home) | 1-2 | Super League |
| May 14, 2019 | Kuala Lumpur FA(away) | 1-2 | Super League |
| May 3, 2019 | Perak(home) | 3-3 | Super League |
| Apr 27, 2019 | Kuala Lumpur FA(home) | 3-2 | Super League |
| Apr 20, 2019 | Johor Darul Takzim FC(away) | 1-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2019 | Kuala Lumpur FA(home) | 1-0 | Super League |
| May 14, 2019 | Terengganu(away) | 5-3 | Super League |
| May 4, 2019 | Pahang(home) | 2-0 | Super League |
| Apr 27, 2019 | Terengganu(home) | 1-2 | Super League |
| Apr 20, 2019 | Kuala Lumpur FA(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Pkns FC win(s), 0 draw(s), 1 Petaling Jaya City win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Petaling Jaya City 1-0 Pkns FC | Super League |
Last archived meeting: Petaling Jaya City vs Pkns FC on Mar 30, 2019
How many goals should we expect?
Pkns FC score 1.3 and concede 1.4 goals per match over their last 15; Petaling Jaya City score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pkns FC | 1.3 | 1.4 | 4 | 8/15 | 8/15 |
| Petaling Jaya City | 1.1 | 1.3 | 3 | 6/15 | 5/15 |
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