UiTM FC vs Perlis: result 2-2 and analysis
Premier LeagueRegular Season - 4Kick-off on February 10, 2017 at 08:45 AM (UTC)Stadium Mini UITM, Shah Alam
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What was the result of UiTM FC vs Perlis?
UiTM FC and Perlis drew 2-2 on February 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, UiTM FC have 2 wins, 3 draws and 10 defeats; Perlis have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2017 | Kuala Lumpur FA(away) | 1-1 | Premier League |
| Jan 20, 2017 | Kuantan FA(away) | 0-0 | Premier League |
| Oct 21, 2016 | Sabah FA(away) | 2-1 | Premier League |
| Sep 23, 2016 | Perlis(home) | 2-5 | Premier League |
| Sep 9, 2016 | Kuantan FA(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2017 | Sabah FA(home) | 1-3 | Premier League |
| Jan 26, 2017 | Johor Darul Tazim II(away) | 0-4 | Premier League |
| Jan 20, 2017 | ATM FA(home) | 1-1 | Premier League |
| Oct 21, 2016 | ATM FA(away) | 3-2 | Premier League |
| Sep 23, 2016 | UiTM FC(away) | 5-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 UiTM FC win, 0 draws, 1 Perlis win.
| Date | Score | Competition |
|---|---|---|
| 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?
UiTM FC score 1.0 and concede 2.1 goals per match over their last 15; Perlis score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UiTM FC | 1.0 | 2.1 | 2 | 10/15 | 9/15 |
| Perlis | 1.5 | 1.6 | 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?
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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