Pknp vs Perak: result 0-4 and analysis
Super LeagueRegular Season - 11Kick-off on April 27, 2019 at 01:00 PM (UTC)Mini Manjung Stadium, Manjung
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What was the result of Pknp vs Perak?
Perak won 0-4 on April 27, 2019.
Goalscorers
- 13′?Perak
- 30′?Perak
- 56′?Perak
- 86′?Perak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pknp have 3 wins, 2 draws and 10 defeats; Perak have 2, 10 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Selangor(away) | 1-2 | Super League |
| Apr 13, 2019 | Melaka United(home) | 1-0 | Super League |
| Apr 6, 2019 | Terengganu(away) | 2-1 | Super League |
| Mar 30, 2019 | Kuala Lumpur FA(home) | 4-0 | Super League |
| Mar 9, 2019 | Johor Darul Takzim FC(away) | 0-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2019 | Kuala Lumpur FA(away) | 3-3 | Super League |
| Apr 20, 2019 | Pahang(home) | 0-1 | Super League |
| Apr 12, 2019 | Selangor(away) | 1-1 | Super League |
| Apr 7, 2019 | Pkns FC(home) | 2-2 | Super League |
| Mar 29, 2019 | Melaka United(away) | 0-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Pknp wins, 0 draws, 2 Perak wins.
| Date | Score | Competition |
|---|---|---|
| May 26, 2018 | Perak 4-3 Pknp | Super League |
| Apr 15, 2018 | Pknp 1-2 Perak | Super League |
How many goals should we expect?
Pknp score 0.8 and concede 1.6 goals per match over their last 15; Perak score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pknp | 0.8 | 1.6 | 3 | 5/15 | 7/15 |
| Perak | 1.7 | 1.7 | 3 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Pknp vs Perak?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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