Pdrm vs UKM FC: result 0-1 and analysis
Premier LeagueRegular Season - 6Kick-off on March 9, 2019 at 08:45 AM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
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What was the result of Pdrm vs UKM FC?
UKM FC won 0-1 on March 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pdrm have 1 win, 3 draws and 11 defeats; UKM FC have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Sabah FA(away) | 1-3 | Premier League |
| Feb 23, 2019 | Selangor United(home) | 0-1 | Premier League |
| Feb 16, 2019 | Penang(away) | 0-1 | Premier League |
| Feb 9, 2019 | Negeri Sembilan(home) | 1-1 | Premier League |
| Feb 1, 2019 | UiTM FC(home) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Sarawak FA(home) | 4-0 | Premier League |
| Feb 23, 2019 | Terengganu City II(away) | 0-0 | Premier League |
| Feb 17, 2019 | Kelantan FA(home) | 0-1 | Premier League |
| Feb 9, 2019 | Johor Darul Tazim II(away) | 1-2 | Premier League |
| Feb 3, 2019 | Perlis(home) | 2-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Pdrm win, 1 draw, 0 UKM FC wins.
| Date | Score | Competition |
|---|---|---|
| May 22, 2018 | Pdrm 2-2 UKM FC | Premier League |
| May 4, 2018 | UKM FC 1-2 Pdrm | Premier League |
How many goals should we expect?
Pdrm score 1.0 and concede 2.9 goals per match over their last 15; UKM FC score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pdrm | 1.0 | 2.9 | 0 | 10/15 | 11/15 |
| UKM FC | 1.3 | 1.1 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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