UiTM FC vs Perlis: result 2-5 and analysis
Premier LeagueRegular Season - 21Kick-off on September 23, 2016 at 08:45 AM (UTC)Stadium Mini UITM, Shah Alam
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What was the result of UiTM FC vs Perlis?
Perlis won 2-5 on September 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, UiTM FC have 1 win, 3 draws and 11 defeats; Perlis have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Kuantan FA(away) | 1-1 | Premier League |
| Aug 23, 2016 | DRB-Hicom FC(home) | 1-2 | Premier League |
| Aug 15, 2016 | Kuala Lumpur FA(away) | 1-2 | Premier League |
| Aug 5, 2016 | Melaka United(home) | 2-3 | Premier League |
| Aug 2, 2016 | Johor Darul Tazim II(home) | 1-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Sime Darby FC(home) | 2-1 | Premier League |
| Aug 23, 2016 | Kuantan FA(away) | 1-1 | Premier League |
| Aug 16, 2016 | Pkns FC(home) | 0-1 | Premier League |
| Aug 5, 2016 | DRB-Hicom FC(home) | 1-0 | Premier League |
| Aug 2, 2016 | Melaka United(away) | 1-3 | Premier League |
What does the head-to-head say?
In the last meeting: 1 UiTM FC win, 0 draws, 0 Perlis wins.
| Date | Score | Competition |
|---|---|---|
| Feb 15, 2016 | Perlis 0-1 UiTM FC | Premier League |
How many goals should we expect?
UiTM FC score 0.9 and concede 2.1 goals per match over their last 15; Perlis score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UiTM FC | 0.9 | 2.1 | 2 | 9/15 | 10/15 |
| Perlis | 1.3 | 1.5 | 3 | 9/15 | 8/15 |
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 |
A question about UiTM FC vs Perlis?
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