Petaling Jaya City vs Pknp: result 1-0 and analysis
Super LeagueRegular Season - 22Kick-off on July 21, 2019 at 01:00 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Pknp?
Petaling Jaya City won 1-0 on July 21, 2019.
Goalscorers
- 75′?Petaling Jaya City (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petaling Jaya City have 6 wins, 1 draws and 8 defeats; Pknp have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2019 | Johor Darul Takzim FC(away) | 1-0 | Super League |
| Jul 13, 2019 | Selangor(away) | 0-3 | Super League |
| Jul 6, 2019 | Melaka United(home) | 1-2 | Super League |
| Jun 26, 2019 | Kedah(away) | 2-3 | Super League |
| Jun 18, 2019 | Felda United FC(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2019 | Felda United FC(home) | 1-1 | Super League |
| Jul 9, 2019 | Melaka United(away) | 1-2 | Super League |
| Jul 5, 2019 | Kedah(away) | 1-1 | Super League |
| Jun 25, 2019 | Pkns FC(home) | 2-2 | Super League |
| Jun 18, 2019 | Pahang(away) | 0-2 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Petaling Jaya City win(s), 0 draw(s), 2 Pknp win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 16, 2019 | Pknp 2-3 Petaling Jaya City | Super League |
| May 5, 2017 | Pknp 3-1 Petaling Jaya City | Premier League |
| Apr 7, 2017 | Petaling Jaya City 1-2 Pknp | Premier League |
Last archived meeting: Pknp vs Petaling Jaya City on Feb 16, 2019
How many goals should we expect?
Petaling Jaya City score 1.1 and concede 1.3 goals per match over their last 15; Pknp score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 1.1 | 1.3 | 5 | 5/15 | 6/15 |
| Pknp | 1.3 | 1.7 | 2 | 11/15 | 9/15 |
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