Pdrm vs Kedah: result 0-1 and analysis
Super LeagueRegular Season - 1Kick-off on May 11, 2024 at 09:30 AM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
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What was the result of Pdrm vs Kedah?
Kedah won 0-1 on May 11, 2024.
Goalscorers
- 1′Syafiq AhmadKedah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 7 wins, 3 draws and 5 defeats; Kedah 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 |
|---|---|---|---|
| Dec 17, 2023 | Selangor(away) | 1-3 | Super League |
| Dec 10, 2023 | Kelantan FA(home) | 7-2 | Super League |
| Nov 25, 2023 | Negeri Sembilan(away) | 0-2 | Super League |
| Nov 8, 2023 | Pahang(away) | 3-2 | Super League |
| Oct 27, 2023 | Kuala Lumpur FA(home) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2023 | Sabah FA(away) | 0-2 | Super League |
| Dec 2, 2023 | Selangor(home) | 0-1 | Super League |
| Nov 26, 2023 | Kelantan FA(away) | 6-1 | Super League |
| Oct 28, 2023 | Negeri Sembilan(home) | 3-0 | Super League |
| Sep 30, 2023 | Kuala Lumpur FA(away) | 1-0 | Super League |
What does the head-to-head say?
Across the last 5 meetings: 1 Pdrm win(s), 1 draw(s), 3 Kedah win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 9, 2023 | Pdrm 0-2 Kedah | Super League |
| 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 1.7 and concede 1.6 goals per match over their last 15; Kedah score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.7 | 1.6 | 4 | 8/15 | 9/15 |
| Kedah | 1.9 | 0.9 | 6 | 6/15 | 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