Petaling Jaya City vs Melaka United: result 1-2 and analysis
Super LeagueRegular Season - 19Kick-off on July 6, 2019 at 01:00 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Melaka United?
Melaka United won 1-2 on July 6, 2019.
Goalscorers
- 14′?Petaling Jaya City
- 37′?Melaka United
- 45′?Melaka United
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petaling Jaya City have 5 wins, 1 draws and 9 defeats; Melaka United have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2019 | Kedah(away) | 2-3 | Super League |
| Jun 18, 2019 | Felda United FC(home) | 1-0 | Super League |
| Jun 14, 2019 | Perak(home) | 0-1 | Super League |
| May 25, 2019 | Pkns FC(away) | 0-3 | Super League |
| May 17, 2019 | Kuala Lumpur FA(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2019 | Johor Darul Takzim FC(home) | 1-2 | Super League |
| Jun 19, 2019 | Kuala Lumpur FA(away) | 1-0 | Super League |
| Jun 15, 2019 | Terengganu(home) | 3-3 | Super League |
| May 25, 2019 | Perak(away) | 3-2 | Super League |
| May 18, 2019 | Kedah(away) | 1-2 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Petaling Jaya City win(s), 0 draw(s), 1 Melaka United win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 2, 2019 | Melaka United 2-1 Petaling Jaya City | Super League |
Last archived meeting: Melaka United vs Petaling Jaya City on Feb 2, 2019
How many goals should we expect?
Petaling Jaya City score 0.9 and concede 1.3 goals per match over their last 15; Melaka United score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 0.9 | 1.3 | 4 | 4/15 | 4/15 |
| Melaka United | 1.6 | 1.4 | 5 | 8/15 | 8/15 |
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