Pdrm vs Pahang: result 1-2 and analysis
Super LeagueRegular Season - 7Kick-off on April 5, 2023 at 02:00 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Pdrm vs Pahang?
Pahang won 1-2 on April 5, 2023.
Goalscorers
- 17′Baqiuddin ShamsudinPahang
- 22′K. ShermanPahang
- 77′J. OkwuosaPdrm
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 5 wins, 2 draws and 8 defeats; Pahang have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Kuching FA(away) | 1-0 | Super League |
| Mar 18, 2023 | Kelantan United(home) | 2-0 | Super League |
| Mar 11, 2023 | Terengganu(away) | 0-1 | Super League |
| Mar 4, 2023 | Kedah(away) | 1-0 | Super League |
| Feb 28, 2023 | Perak(home) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Kedah(home) | 1-1 | Super League |
| Mar 16, 2023 | Perak(away) | 3-0 | Super League |
| Mar 12, 2023 | Sabah FA(home) | 1-1 | Super League |
| Mar 8, 2023 | Perak(away) | 2-1 | FA Cup |
| Mar 5, 2023 | Selangor(away) | 1-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 2 Pdrm win(s), 0 draw(s), 1 Pahang win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2020 | Pahang 2-1 Pdrm | Super League |
| Aug 6, 2016 | Pdrm 1-0 Pahang | Super League |
| Apr 5, 2016 | Pahang 0-2 Pdrm | Super League |
How many goals should we expect?
Pdrm score 0.6 and concede 1.1 goals per match over their last 15; Pahang score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 0.6 | 1.1 | 6 | 2/15 | 4/15 |
| Pahang | 1.6 | 1.5 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Pdrm | 24 | 2 | 5 | 17 | 17 | 79 | 11 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy