Melaka United vs ATM FA: result 3-1 and analysis
Premier LeagueRegular Season - 12Kick-off on May 21, 2016 at 01:00 PM (UTC)Stadium Hang Jebat, Melaka
Full time
What was the result of Melaka United vs ATM FA?
Melaka United won 3-1 on May 21, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Melaka United have 7 wins, 3 draws and 1 defeat; ATM FA have 0, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2016 | ATM FA(away) | 6-0 | Premier League |
| May 3, 2016 | Perlis(away) | 1-2 | Premier League |
| Apr 22, 2016 | Kuala Lumpur FA(home) | 2-1 | Premier League |
| Apr 19, 2016 | DRB-Hicom FC(away) | 1-0 | Premier League |
| Apr 8, 2016 | Kuantan FA(home) | 3-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2016 | Melaka United(home) | 0-6 | Premier League |
| May 3, 2016 | Kuala Lumpur FA(away) | 1-5 | Premier League |
| Apr 22, 2016 | DRB-Hicom FC(away) | 0-4 | Premier League |
| Apr 19, 2016 | Kuantan FA(home) | 1-2 | Premier League |
| Apr 8, 2016 | UiTM FC(away) | 2-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Melaka United win, 0 draws, 0 ATM FA wins.
| Date | Score | Competition |
|---|---|---|
| May 17, 2016 | ATM FA 0-6 Melaka United | Premier League |
Last archived meeting: ATM FA vs Melaka United on May 17, 2016
How many goals should we expect?
Melaka United score 2.2 and concede 1.1 goals per match over their last 11; ATM FA score 0.6 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melaka United | 2.2 | 1.1 | 3 | 8/11 | 9/11 |
| ATM FA | 0.6 | 3.9 | 0 | 6/11 | 10/11 |
Over the last 11 matches in all competitions.
A question about Melaka United vs ATM FA?
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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