Selangor vs Pdrm: result 1-1 and analysis
Malaysia CupGroup Stage - 3Kick-off on August 18, 2019 at 01:00 PM (UTC)Stadium Shah Alam, Shah Alam
Full time
What was the result of Selangor vs Pdrm?
Selangor and Pdrm drew 1-1 on August 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Selangor have 8 wins, 4 draws and 3 defeats; Pdrm have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2019 | Melaka United(away) | 1-0 | Malaysia Cup |
| Aug 3, 2019 | Felda United FC(home) | 2-2 | Malaysia Cup |
| Jul 20, 2019 | Pkns FC(away) | 3-2 | Super League |
| Jul 13, 2019 | Petaling Jaya City(home) | 3-0 | Super League |
| Jul 10, 2019 | Perak(away) | 2-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2019 | Felda United FC(home) | 4-3 | Malaysia Cup |
| Aug 4, 2019 | Melaka United(away) | 1-3 | Malaysia Cup |
| Jul 20, 2019 | Penang(home) | 1-2 | Premier League |
| Jul 13, 2019 | Negeri Sembilan(away) | 3-2 | Premier League |
| Jul 10, 2019 | Kelantan FA(home) | 3-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Selangor win, 1 draw, 0 Pdrm wins.
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2016 | Selangor 2-1 Pdrm | Super League |
| Apr 23, 2016 | Pdrm 0-0 Selangor | Super League |
How many goals should we expect?
Selangor score 2.0 and concede 1.3 goals per match over their last 15; Pdrm score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Selangor | 2.0 | 1.3 | 2 | 12/15 | 10/15 |
| Pdrm | 2.1 | 1.5 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Selangor vs Pdrm?
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