Petaling Jaya City vs Perlis: result 2-3 and analysis
Premier LeagueRegular Season - 13Kick-off on May 24, 2017 at 08:45 AM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Perlis?
Perlis won 2-3 on May 24, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Petaling Jaya City have 2 wins, 0 draws and 10 defeats; Perlis have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 15, 2017 | Sabah FA(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Kuala Lumpur FA(home) | 0-5 | Premier League |
| Apr 25, 2017 | Negeri Sembilan(home) | 1-1 | Premier League |
| Apr 14, 2017 | Petaling Jaya City(home) | 2-0 | Premier League |
| Apr 7, 2017 | Kuala Lumpur FA(away) | 0-2 | Premier League |
| Mar 3, 2017 | Kuantan FA(away) | 0-5 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Petaling Jaya City wins, 0 draws, 1 Perlis win.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2017 | Perlis 2-0 Petaling Jaya City | Premier League |
Last archived meeting: Perlis vs Petaling Jaya City on Apr 14, 2017
How many goals should we expect?
Petaling Jaya City score 1.7 and concede 2.8 goals per match over their last 12; Perlis score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 1.7 | 2.8 | 0 | 11/12 | 11/12 |
| Perlis | 1.3 | 2.3 | 1 | 9/15 | 10/15 |
Over the last 12 matches in all competitions.
A question about Petaling Jaya City vs Perlis?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy