Pdrm vs Kedah: result 1-1 and analysis
Super LeagueRegular Season - 12Kick-off on May 21, 2016 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Full time
What was the result of Pdrm vs Kedah?
Pdrm and Kedah drew 1-1 on May 21, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Pdrm have 3 wins, 4 draws and 4 defeats; Kedah have 3, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | Kedah(away) | 0-2 | Super League |
| May 4, 2016 | Perak(home) | 2-2 | Super League |
| Apr 23, 2016 | Selangor(home) | 0-0 | Super League |
| Apr 20, 2016 | Felda United FC(away) | 0-4 | Super League |
| Apr 10, 2016 | Terengganu(home) | 3-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | Pdrm(home) | 2-0 | Super League |
| May 4, 2016 | Pahang(away) | 1-1 | Super League |
| Apr 23, 2016 | Johor Darul Takzim FC(home) | 1-1 | Super League |
| Apr 20, 2016 | PBDKT T-Team(away) | 1-4 | Super League |
| Apr 9, 2016 | Penang(home) | 2-2 | Super League |
What does the head-to-head say?
In the last meeting: 0 Pdrm wins, 0 draws, 1 Kedah win.
| Date | Score | Competition |
|---|---|---|
| May 18, 2016 | Kedah 2-0 Pdrm | Super League |
How many goals should we expect?
Pdrm score 1.0 and concede 1.4 goals per match over their last 11; Kedah score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.0 | 1.4 | 3 | 4/11 | 4/11 |
| Kedah | 1.2 | 1.3 | 3 | 7/11 | 4/11 |
Over the last 11 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 |
A question about Pdrm vs Kedah?
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