Pdrm vs ATM FA: result 1-1 and analysis
Premier LeagueRegular Season - 16Kick-off on July 14, 2017 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
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What was the result of Pdrm vs ATM FA?
Pdrm and ATM FA drew 1-1 on July 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 6 wins, 2 draws and 7 defeats; ATM FA have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2017 | Johor Darul Tazim II(away) | 0-1 | Premier League |
| Jun 30, 2017 | Sabah FA(home) | 0-1 | Premier League |
| May 24, 2017 | Pknp(home) | 4-1 | Premier League |
| May 5, 2017 | UiTM FC(away) | 3-4 | Premier League |
| Apr 25, 2017 | Sabah FA(away) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2017 | Terengganu(home) | 0-2 | Premier League |
| Jun 30, 2017 | Kuantan FA(away) | 1-3 | Premier League |
| May 24, 2017 | Kuala Lumpur FA(away) | 0-6 | Premier League |
| May 5, 2017 | Negeri Sembilan(home) | 1-1 | Premier League |
| Apr 25, 2017 | Kuantan FA(home) | 4-3 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Pdrm win, 0 draws, 0 ATM FA wins.
| Date | Score | Competition |
|---|---|---|
| Feb 28, 2017 | ATM FA 4-5 Pdrm | Premier League |
How many goals should we expect?
Pdrm score 1.8 and concede 1.5 goals per match over their last 15; ATM FA score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.8 | 1.5 | 2 | 10/15 | 8/15 |
| ATM FA | 1.5 | 2.5 | 0 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pdrm | 18 | 6 | 3 | 9 | 20 | 28 | 21 |
A question about Pdrm vs ATM FA?
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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