Pdrm vs UKM FC: result 2-2 and analysis
Premier LeagueRegular Season - 13Kick-off on May 22, 2018 at 02:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Full time
What was the result of Pdrm vs UKM FC?
Pdrm and UKM FC drew 2-2 on May 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 6 wins, 4 draws and 5 defeats; UKM FC have 2, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2018 | Terengganu City II(away) | 2-1 | Premier League |
| May 4, 2018 | UKM FC(away) | 2-1 | Premier League |
| Apr 30, 2018 | Terengganu City II(home) | 0-0 | Premier League |
| Apr 27, 2018 | UiTM FC(away) | 3-1 | Premier League |
| Apr 24, 2018 | Petaling Jaya City(away) | 3-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | UiTM FC(home) | 0-0 | Premier League |
| May 4, 2018 | Pdrm(home) | 1-2 | Premier League |
| May 1, 2018 | UiTM FC(away) | 0-2 | Premier League |
| Apr 28, 2018 | Petaling Jaya City(home) | 3-3 | Premier League |
| Apr 24, 2018 | Sabah FA(home) | 3-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Pdrm win, 0 draws, 0 UKM FC wins.
| Date | Score | Competition |
|---|---|---|
| May 4, 2018 | UKM FC 1-2 Pdrm | Premier League |
How many goals should we expect?
Pdrm score 1.5 and concede 1.8 goals per match over their last 15; UKM FC score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.5 | 1.8 | 3 | 9/15 | 10/15 |
| UKM FC | 1.2 | 1.7 | 2 | 8/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pdrm | 18 | 6 | 3 | 9 | 20 | 28 | 21 |
A question about Pdrm vs UKM FC?
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