Selangor vs Pdrm: result 2-1 and analysis
Super LeagueRegular Season - 14Kick-off on July 16, 2016 at 01:00 PM (UTC)MBPJ Stadium, Petaling Jaya
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What was the result of Selangor vs Pdrm?
Selangor won 2-1 on July 16, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Selangor have 6 wins, 4 draws and 2 defeats; Pdrm have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Kelantan FA(away) | 5-2 | Super League |
| May 18, 2016 | Kelantan FA(home) | 0-0 | Super League |
| May 4, 2016 | PBDKT T-Team(home) | 2-1 | Super League |
| Apr 23, 2016 | Pdrm(away) | 0-0 | Super League |
| Apr 20, 2016 | Penang(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Kedah(home) | 1-1 | Super League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Selangor wins, 1 draw, 0 Pdrm wins.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2016 | Pdrm 0-0 Selangor | Super League |
How many goals should we expect?
Selangor score 1.8 and concede 1.3 goals per match over their last 12; Pdrm score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Selangor | 1.8 | 1.3 | 4 | 8/12 | 7/12 |
| Pdrm | 1.0 | 1.3 | 3 | 5/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Selangor | 4 | 4 | 0 | 0 | 13 | 3 | 12 |
A question about Selangor vs Pdrm?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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