Perlis vs UiTM FC: result 1-3 and analysis
Premier LeagueRegular Season - 19Kick-off on August 4, 2017 at 08:45 AM (UTC)Stadium Utama Negeri, Kangar
Full time
What was the result of Perlis vs UiTM FC?
UiTM FC won 1-3 on August 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perlis have 4 wins, 2 draws and 9 defeats; UiTM FC have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2017 | Pknp(away) | 0-2 | Premier League |
| Jul 21, 2017 | Pdrm(home) | 3-1 | Premier League |
| Jul 14, 2017 | Terengganu(away) | 0-4 | Premier League |
| Jul 10, 2017 | Kuantan FA(home) | 3-1 | Premier League |
| Jun 30, 2017 | Negeri Sembilan(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2017 | ATM FA(home) | 2-1 | Premier League |
| Jul 21, 2017 | Johor Darul Tazim II(away) | 0-1 | Premier League |
| Jul 14, 2017 | Sabah FA(home) | 0-1 | Premier League |
| Jul 10, 2017 | Petaling Jaya City(home) | 3-3 | Premier League |
| Jun 30, 2017 | Pknp(away) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 1 Perlis win(s), 1 draw(s), 1 UiTM FC win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 10, 2017 | UiTM FC 2-2 Perlis | Premier League |
| Sep 23, 2016 | UiTM FC 2-5 Perlis | Premier League |
| Feb 15, 2016 | Perlis 0-1 UiTM FC | Premier League |
How many goals should we expect?
Perlis score 1.1 and concede 2.1 goals per match over their last 15; UiTM FC score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perlis | 1.1 | 2.1 | 1 | 7/15 | 9/15 |
| UiTM FC | 2.1 | 1.5 | 1 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | UiTM FC | 18 | 6 | 2 | 10 | 18 | 25 | 20 |
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