Pdrm vs Penang: result 1-0 and analysis
Premier LeagueRegular Season - 4Kick-off on February 24, 2018 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
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What was the result of Pdrm vs Penang?
Pdrm won 1-0 on February 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 3 wins, 3 draws and 9 defeats; Penang have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2018 | Sabah FA(away) | 0-2 | Premier League |
| Feb 6, 2018 | Felda United FC(home) | 2-6 | Premier League |
| Feb 2, 2018 | Felcra(away) | 1-1 | Premier League |
| Oct 27, 2017 | Petaling Jaya City(away) | 0-3 | Premier League |
| Sep 26, 2017 | Terengganu(home) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2018 | Felda United FC(away) | 0-3 | Premier League |
| Feb 6, 2018 | UKM FC(home) | 2-1 | Premier League |
| Feb 1, 2018 | UiTM FC(away) | 1-3 | Premier League |
| Oct 28, 2017 | Selangor(home) | 1-3 | Super League |
| Sep 27, 2017 | Perak(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Pdrm wins, 2 draws, 0 Penang wins.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Penang 1-1 Pdrm | Super League |
| Feb 27, 2016 | Pdrm 2-2 Penang | Super League |
How many goals should we expect?
Pdrm score 1.5 and concede 2.3 goals per match over their last 15; Penang score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.5 | 2.3 | 0 | 9/15 | 10/15 |
| Penang | 0.9 | 1.9 | 1 | 7/15 | 8/15 |
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 Penang?
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