Kedah vs Kelantan FA: result 1-2 and analysis
Super LeagueRegular Season - 14Kick-off on June 5, 2018 at 02:00 PM (UTC)Stadium Darul Aman, Alor Setar
Full time
What was the result of Kedah vs Kelantan FA?
Kelantan FA won 1-2 on June 5, 2018.
Goalscorers
- 26′Paulo RangelKedah (pen.)
- 56′Nik Azli Nik AliasKelantan FA
- 60′Danial Ashraf AbdullahKelantan FA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kedah have 6 wins, 4 draws and 5 defeats; Kelantan FA have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2018 | Melaka United(home) | 0-2 | Super League |
| May 26, 2018 | Selangor(away) | 2-1 | Super League |
| May 22, 2018 | Pahang(home) | 2-0 | Super League |
| May 13, 2018 | Negeri Sembilan(away) | 2-1 | Super League |
| May 5, 2018 | Pahang(away) | 2-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2018 | Selangor(away) | 0-4 | Super League |
| May 26, 2018 | Negeri Sembilan(home) | 0-2 | Super League |
| May 22, 2018 | Kuala Lumpur FA(away) | 1-5 | Super League |
| May 11, 2018 | Pknp(home) | 1-2 | Super League |
| May 5, 2018 | Kuala Lumpur FA(home) | 4-2 | Super League |
What does the head-to-head say?
Across the last 4 meetings: 4 Kedah win(s), 0 draw(s), 0 Kelantan FA win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2017 | Kedah 5-0 Kelantan FA | Super League |
| Feb 18, 2017 | Kelantan FA 0-1 Kedah | Super League |
| Aug 24, 2016 | Kelantan FA 1-2 Kedah | Super League |
| Mar 1, 2016 | Kedah 2-1 Kelantan FA | Super League |
How many goals should we expect?
Kedah score 1.9 and concede 1.7 goals per match over their last 15; Kelantan FA score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kedah | 1.9 | 1.7 | 4 | 10/15 | 10/15 |
| Kelantan FA | 1.1 | 2.0 | 1 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy