ATM FA vs UiTM FC: result 3-1 and analysis
Premier LeagueRegular Season - 16Kick-off on July 25, 2016 at 08:45 AM (UTC)Stadium Mindef, Kuala Lumpur
Full time
What was the result of ATM FA vs UiTM FC?
ATM FA won 3-1 on July 25, 2016.
What is the recent form of both teams?
Over their last 14 matches in all competitions, ATM FA have 1 win, 2 draws and 11 defeats; UiTM FC have 2, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2016 | Kuantan FA(away) | 0-0 | Premier League |
| Jul 15, 2016 | DRB-Hicom FC(home) | 2-1 | Premier League |
| May 21, 2016 | Melaka United(away) | 1-3 | Premier League |
| May 17, 2016 | Melaka United(home) | 0-6 | Premier League |
| May 3, 2016 | Kuala Lumpur FA(away) | 1-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2016 | Pkns FC(away) | 0-3 | Premier League |
| May 20, 2016 | Negeri Sembilan(away) | 2-4 | Premier League |
| May 17, 2016 | Negeri Sembilan(home) | 0-1 | Premier League |
| May 3, 2016 | Johor Darul Tazim II(away) | 0-1 | Premier League |
| Apr 22, 2016 | Pkns FC(home) | 0-3 | Premier League |
What does the head-to-head say?
In the last meeting: 0 ATM FA wins, 1 draw, 0 UiTM FC wins.
| Date | Score | Competition |
|---|---|---|
| Apr 8, 2016 | UiTM FC 2-2 ATM FA | Premier League |
How many goals should we expect?
ATM FA score 0.7 and concede 3.4 goals per match over their last 14; UiTM FC score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ATM FA | 0.7 | 3.4 | 1 | 8/14 | 12/14 |
| UiTM FC | 0.9 | 1.8 | 3 | 6/13 | 7/13 |
Over the last 14 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 ATM FA vs UiTM FC?
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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