Pdrm vs Kedah: result 0-2 and analysis
Super LeagueRegular Season - 16Kick-off on July 9, 2023 at 01:00 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Pdrm vs Kedah?
Kedah won 0-2 on July 9, 2023.
Goalscorers
- 81′Ifedayo Olusegun Patrick OmosuyiKedah (pen.)
- 90′L. TuckKedah (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 7 wins, 1 draws and 7 defeats; Kedah have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2023 | Perak(away) | 2-1 | Super League |
| Jun 8, 2023 | Sabah FA(home) | 1-0 | Super League |
| Jun 3, 2023 | Selangor(home) | 1-0 | Super League |
| May 23, 2023 | Kelantan FA(away) | 4-1 | Super League |
| May 18, 2023 | Negeri Sembilan(home) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2023 | Terengganu(away) | 0-1 | Super League |
| Jun 7, 2023 | Perak(home) | 3-0 | Super League |
| Jun 2, 2023 | Sabah FA(home) | 2-1 | Super League |
| May 24, 2023 | Selangor(away) | 2-3 | Super League |
| May 19, 2023 | Kelantan FA(home) | 5-0 | Super League |
What does the head-to-head say?
Across the last 4 meetings: 1 Pdrm win(s), 1 draw(s), 2 Kedah win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 4, 2023 | Kedah 0-1 Pdrm | Super League |
| Aug 29, 2020 | Pdrm 0-2 Kedah | Super League |
| May 21, 2016 | Pdrm 1-1 Kedah | Super League |
| May 18, 2016 | Kedah 2-0 Pdrm | Super League |
How many goals should we expect?
Pdrm score 1.1 and concede 1.2 goals per match over their last 15; Kedah score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.1 | 1.2 | 6 | 5/15 | 7/15 |
| Kedah | 1.8 | 1.4 | 5 | 7/15 | 10/15 |
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