Pdrm vs Pknp: result 4-1 and analysis
Premier LeagueRegular Season - 13Kick-off on May 24, 2017 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Full time
What was the result of Pdrm vs Pknp?
Pdrm won 4-1 on May 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 5 wins, 3 draws and 7 defeats; Pknp have 6, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | UiTM FC(away) | 3-4 | Premier League |
| Apr 25, 2017 | Sabah FA(away) | 3-1 | Premier League |
| Apr 14, 2017 | Pknp(away) | 1-2 | Premier League |
| Apr 7, 2017 | UiTM FC(home) | 1-1 | Premier League |
| Mar 3, 2017 | Johor Darul Tazim II(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Petaling Jaya City(home) | 3-1 | Premier League |
| Apr 25, 2017 | UiTM FC(away) | 1-1 | Premier League |
| Apr 14, 2017 | Pdrm(home) | 2-1 | Premier League |
| Apr 7, 2017 | Petaling Jaya City(away) | 2-1 | Premier League |
| Mar 3, 2017 | Sabah FA(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Pdrm wins, 0 draws, 1 Pknp win.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2017 | Pknp 2-1 Pdrm | Premier League |
How many goals should we expect?
Pdrm score 1.7 and concede 1.7 goals per match over their last 15; Pknp score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.7 | 1.7 | 2 | 12/15 | 9/15 |
| Pknp | 1.3 | 0.8 | 4 | 8/12 | 5/12 |
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 Pknp?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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