Kelantan FA vs Pkns FC: result 0-2 and analysis
Super LeagueRegular Season - 16Kick-off on June 19, 2018 at 01:00 PM (UTC)Stadium Sultan Mohammad IV, Kota Bharu
Full time
What was the result of Kelantan FA vs Pkns FC?
Pkns FC won 0-2 on June 19, 2018.
Goalscorers
- 4′Bruno Oliveira de MatosPkns FC
- 87′Bruno Oliveira de MatosPkns FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kelantan FA have 3 wins, 2 draws and 10 defeats; Pkns FC have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2018 | Kedah(home) | 0-1 | Super League |
| Jun 5, 2018 | Kedah(away) | 2-1 | Super League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2018 | Selangor(home) | 2-2 | Super League |
| Jun 6, 2018 | Selangor(away) | 1-2 | Super League |
| Jun 3, 2018 | Negeri Sembilan(away) | 1-3 | Super League |
| May 27, 2018 | Johor Darul Takzim FC(home) | 0-0 | Super League |
| May 23, 2018 | Melaka United(away) | 1-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Kelantan FA win(s), 1 draw(s), 1 Pkns FC win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2018 | Pkns FC 1-0 Kelantan FA | Super League |
| Sep 27, 2017 | Kelantan FA 0-0 Pkns FC | Super League |
| Jan 27, 2017 | Pkns FC 1-3 Kelantan FA | Super League |
Last archived meeting: Pkns FC vs Kelantan FA on Mar 9, 2018
How many goals should we expect?
Kelantan FA score 1.0 and concede 2.1 goals per match over their last 15; Pkns FC score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kelantan FA | 1.0 | 2.1 | 0 | 9/15 | 9/15 |
| Pkns FC | 1.4 | 1.5 | 5 | 9/15 | 8/15 |
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