Pahang vs Kelantan FA: result 3-0 and analysis
Super LeagueRegular Season - 3Kick-off on February 10, 2018 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs Kelantan FA?
Pahang won 3-0 on February 10, 2018.
Goalscorers
- 13′Francis Doe ForkeyPahang
- 54′Mohamadou SumarehPahang
- 87′Nor Azam Abdul AzihPahang
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 6 wins, 4 draws and 5 defeats; Kelantan FA have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2018 | Pkns FC(away) | 0-1 | Super League |
| Feb 4, 2018 | Perak(home) | 0-0 | Super League |
| Oct 28, 2017 | Perak(home) | 1-1 | Super League |
| Sep 27, 2017 | PBDKT T-Team(away) | 1-0 | Super League |
| Sep 20, 2017 | Sarawak FA(home) | 3-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2018 | Terengganu(home) | 1-1 | Super League |
| Feb 3, 2018 | Melaka United(away) | 1-2 | Super League |
| Oct 28, 2017 | Melaka United(away) | 3-1 | Super League |
| Sep 27, 2017 | Pkns FC(home) | 0-0 | Super League |
| Sep 20, 2017 | Johor Darul Takzim FC(away) | 0-3 | Super League |
What does the head-to-head say?
Across the last 4 meetings: 2 Pahang win(s), 1 draw(s), 1 Kelantan FA win(s).
| Date | Score | Competition |
|---|---|---|
| May 6, 2017 | Pahang 2-3 Kelantan FA | Super League |
| Apr 8, 2017 | Kelantan FA 1-2 Pahang | Super League |
| Jul 23, 2016 | Kelantan FA 0-0 Pahang | Super League |
| Apr 20, 2016 | Pahang 4-3 Kelantan FA | Super League |
How many goals should we expect?
Pahang score 1.3 and concede 1.1 goals per match over their last 15; Kelantan FA score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 1.3 | 1.1 | 5 | 7/15 | 6/15 |
| Kelantan FA | 1.1 | 1.7 | 2 | 8/15 | 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