ATM FA vs Petaling Jaya City: result 1-1 and analysis
Premier LeagueMatchday 21Kick-off on September 26, 2017 at 01:00 PM (UTC)Stadium Mindef, Kuala Lumpur
Full time
What was the result of ATM FA vs Petaling Jaya City?
ATM FA and Petaling Jaya City drew 1-1 on September 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ATM FA have 1 win, 3 draws and 11 defeats; Petaling Jaya City have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2017 | Johor Darul Tazim II(away) | 1-1 | Premier League |
| Aug 4, 2017 | Sabah FA(home) | 0-2 | Premier League |
| Jul 25, 2017 | UiTM FC(away) | 1-2 | Premier League |
| Jul 21, 2017 | Pknp(home) | 0-4 | Premier League |
| Jul 14, 2017 | Pdrm(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2017 | Terengganu(home) | 1-2 | Premier League |
| Aug 4, 2017 | Johor Darul Tazim II(away) | 1-2 | Premier League |
| Jul 25, 2017 | Kuantan FA(home) | 6-3 | Premier League |
| Jul 21, 2017 | Sabah FA(away) | 1-2 | Premier League |
| Jul 14, 2017 | Negeri Sembilan(home) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 ATM FA win, 0 draws, 0 Petaling Jaya City wins.
| Date | Score | Competition |
|---|---|---|
| Jan 26, 2017 | Petaling Jaya City 2-3 ATM FA | Premier League |
Last archived meeting: Petaling Jaya City vs ATM FA on Jan 26, 2017
How many goals should we expect?
ATM FA score 0.9 and concede 2.3 goals per match over their last 15; Petaling Jaya City score 1.6 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ATM FA | 0.9 | 2.3 | 0 | 8/15 | 7/15 |
| Petaling Jaya City | 1.6 | 2.4 | 1 | 13/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about ATM FA vs Petaling Jaya City?
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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