Pdrm vs PBDKT T-Team: result 1-2 and analysis
Super LeagueRegular Season - 19Kick-off on August 24, 2016 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Full time
What was the result of Pdrm vs PBDKT T-Team?
PBDKT T-Team won 1-2 on August 24, 2016.
Goalscorers
- 15′Nor Hakim HassanPBDKT T-Team
- 42′92353PBDKT T-Team
- 83′Fakrul Aiman SididPdrm
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 3 wins, 5 draws and 7 defeats; PBDKT T-Team have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2016 | Johor Darul Takzim FC(away) | 0-4 | Super League |
| Aug 6, 2016 | Pahang(home) | 1-0 | Super League |
| Aug 3, 2016 | Perak(away) | 0-1 | Super League |
| Jul 27, 2016 | Terengganu(away) | 0-0 | Super League |
| Jul 23, 2016 | Felda United FC(home) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2016 | Perak(home) | 0-0 | Super League |
| Aug 6, 2016 | Kelantan FA(away) | 0-2 | Super League |
| Aug 3, 2016 | Selangor(home) | 1-0 | Super League |
| Jul 26, 2016 | Sarawak FA(home) | 1-2 | Super League |
| Jul 23, 2016 | Kedah(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Pdrm win(s), 1 draw(s), 0 PBDKT T-Team win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 1, 2016 | PBDKT T-Team 1-1 Pdrm | Super League |
How many goals should we expect?
Pdrm score 0.8 and concede 1.5 goals per match over their last 15; PBDKT T-Team score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 0.8 | 1.5 | 4 | 6/15 | 6/15 |
| PBDKT T-Team | 1.4 | 1.3 | 5 | 8/15 | 7/15 |
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