Kuantan FA vs ATM FA: result 3-1 and analysis
Premier LeagueRegular Season - 14Kick-off on June 30, 2017 at 01:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
Full time
What was the result of Kuantan FA vs ATM FA?
Kuantan FA won 3-1 on June 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kuantan FA have 4 wins, 2 draws and 9 defeats; ATM FA have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Sabah FA(home) | 3-3 | Premier League |
| May 5, 2017 | Johor Darul Tazim II(away) | 1-3 | Premier League |
| Apr 25, 2017 | ATM FA(away) | 3-4 | Premier League |
| Apr 14, 2017 | Sabah FA(away) | 1-2 | Premier League |
| Apr 7, 2017 | Johor Darul Tazim II(home) | 2-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Kuala Lumpur FA(away) | 0-6 | Premier League |
| May 5, 2017 | Negeri Sembilan(home) | 1-1 | Premier League |
| Apr 25, 2017 | Kuantan FA(home) | 4-3 | Premier League |
| Apr 14, 2017 | Kuala Lumpur FA(home) | 1-2 | Premier League |
| Apr 7, 2017 | Negeri Sembilan(away) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 1 Kuantan FA win, 1 draw, 1 ATM FA win.
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2017 | ATM FA 4-3 Kuantan FA | Premier League |
| Jul 22, 2016 | Kuantan FA 0-0 ATM FA | Premier League |
| Apr 19, 2016 | ATM FA 1-2 Kuantan FA | Premier League |
How many goals should we expect?
Kuantan FA score 1.7 and concede 2.2 goals per match over their last 15; ATM FA score 1.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuantan FA | 1.7 | 2.2 | 2 | 10/15 | 11/15 |
| ATM FA | 1.7 | 2.5 | 0 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Kuantan FA 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