Pdrm vs Kuantan FA: prediction and stats
Premier LeagueRegular Season - 7Kick-off on April 15, 2018 at 12:00 AM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 2 wins, 4 draws and 9 defeats; Kuantan FA have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2018 | Johor Darul Tazim II(home) | 0-0 | Premier League |
| Mar 9, 2018 | Sarawak FA(away) | 1-2 | Premier League |
| Feb 24, 2018 | Penang(home) | 1-0 | Premier League |
| Feb 9, 2018 | Sabah FA(away) | 0-2 | Premier League |
| Feb 6, 2018 | Felda United FC(home) | 2-6 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2017 | UiTM FC(away) | 1-4 | Premier League |
| Sep 27, 2017 | Pknp(home) | 1-3 | Premier League |
| Sep 19, 2017 | Pdrm(away) | 3-5 | Premier League |
| Aug 4, 2017 | Terengganu(home) | 0-3 | Premier League |
| Jul 25, 2017 | Petaling Jaya City(away) | 3-6 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Pdrm win, 0 draws, 1 Kuantan FA win.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2017 | Pdrm 5-3 Kuantan FA | Premier League |
| Feb 3, 2017 | Kuantan FA 3-1 Pdrm | Premier League |
How many goals should we expect?
Pdrm score 0.9 and concede 2.1 goals per match over their last 15; Kuantan FA score 2.0 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 0.9 | 2.1 | 2 | 7/15 | 8/15 |
| Kuantan FA | 2.0 | 3.4 | 1 | 12/15 | 15/15 |
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 Kuantan FA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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