Perak vs Kelantan FA: result 1-0 and analysis
Super LeagueRegular Season - 17Kick-off on June 26, 2018 at 01:00 PM (UTC)Stadium Perak, Ipoh
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What was the result of Perak vs Kelantan FA?
Perak won 1-0 on June 26, 2018.
Goalscorers
- 70′Leandro dos Santos OliveiraPerak (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perak have 8 wins, 3 draws and 4 defeats; Kelantan FA have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2018 | Selangor(away) | 1-1 | Super League |
| Jun 9, 2018 | Negeri Sembilan(home) | 2-0 | Super League |
| Jun 6, 2018 | Negeri Sembilan(away) | 1-1 | Super League |
| Jun 2, 2018 | Johor Darul Takzim FC(away) | 0-2 | Super League |
| May 26, 2018 | Pknp(home) | 4-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2018 | Pkns FC(home) | 0-2 | Super League |
| 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 |
What does the head-to-head say?
Across the last 5 meetings: 1 Perak win(s), 2 draw(s), 2 Kelantan FA win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 24, 2018 | Kelantan FA 3-2 Perak | Super League |
| Jul 15, 2017 | Kelantan FA 0-2 Perak | Super League |
| Mar 1, 2017 | Perak 2-4 Kelantan FA | Super League |
| Oct 22, 2016 | Kelantan FA 2-2 Perak | Super League |
| Feb 13, 2016 | Perak 0-0 Kelantan FA | Super League |
How many goals should we expect?
Perak score 1.7 and concede 1.3 goals per match over their last 15; Kelantan FA score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perak | 1.7 | 1.3 | 4 | 8/15 | 8/15 |
| Kelantan FA | 0.9 | 2.1 | 0 | 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