Petaling Jaya City vs Sabah FA: result 1-1 and analysis
Premier LeagueRegular Season - 5Kick-off on March 12, 2018 at 01:30 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Petaling Jaya City vs Sabah FA?
Petaling Jaya City and Sabah FA drew 1-1 on March 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petaling Jaya City have 3 wins, 5 draws and 7 defeats; Sabah FA have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2018 | Felcra(away) | 1-1 | Premier League |
| Feb 9, 2018 | Terengganu City II(home) | 1-0 | Premier League |
| Feb 2, 2018 | Johor Darul Tazim II(home) | 1-1 | Premier League |
| Oct 27, 2017 | Pdrm(home) | 3-0 | Premier League |
| Sep 26, 2017 | ATM FA(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2018 | Sarawak FA(home) | 1-1 | Premier League |
| Feb 9, 2018 | Pdrm(home) | 2-0 | Premier League |
| Feb 6, 2018 | Felcra(away) | 1-1 | Premier League |
| Feb 2, 2018 | Terengganu City II(home) | 4-0 | Premier League |
| Oct 27, 2017 | Negeri Sembilan(home) | 2-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Petaling Jaya City win(s), 0 draw(s), 1 Sabah FA win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 21, 2017 | Sabah FA 2-1 Petaling Jaya City | Premier League |
| Mar 15, 2017 | Petaling Jaya City 3-1 Sabah FA | Premier League |
Last archived meeting: Sabah FA vs Petaling Jaya City on Jul 21, 2017
How many goals should we expect?
Petaling Jaya City score 1.6 and concede 1.7 goals per match over their last 15; Sabah FA score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petaling Jaya City | 1.6 | 1.7 | 3 | 12/15 | 10/15 |
| Sabah FA | 1.9 | 1.0 | 5 | 9/15 | 7/15 |
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