Petaling Jaya City vs Kuala Lumpur FA: result 1-2 and analysis
Premier LeagueRegular Season - 14Kick-off on June 30, 2017 at 08:45 AM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Kuala Lumpur FA?
Kuala Lumpur FA won 1-2 on June 30, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Petaling Jaya City have 2 wins, 0 draws and 11 defeats; Kuala Lumpur FA have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Perlis(home) | 2-3 | Premier League |
| May 5, 2017 | Pknp(away) | 1-3 | Premier League |
| Apr 25, 2017 | Kuala Lumpur FA(away) | 1-2 | Premier League |
| Apr 14, 2017 | Perlis(away) | 0-2 | Premier League |
| Apr 7, 2017 | Pknp(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | ATM FA(home) | 6-0 | Premier League |
| May 5, 2017 | Perlis(away) | 5-0 | Premier League |
| Apr 25, 2017 | Petaling Jaya City(home) | 2-1 | Premier League |
| Apr 14, 2017 | ATM FA(away) | 2-1 | Premier League |
| Apr 7, 2017 | Perlis(home) | 2-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Petaling Jaya City win(s), 0 draw(s), 1 Kuala Lumpur FA win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2017 | Kuala Lumpur FA 2-1 Petaling Jaya City | Premier League |
Last archived meeting: Kuala Lumpur FA vs Petaling Jaya City on Apr 25, 2017
How many goals should we expect?
Petaling Jaya City score 1.7 and concede 2.8 goals per match over their last 13; Kuala Lumpur FA score 1.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 1.7 | 2.8 | 0 | 12/13 | 12/13 |
| Kuala Lumpur FA | 1.8 | 1.0 | 4 | 9/15 | 9/15 |
Over the last 13 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