Pkns FC vs Selangor: result 5-3 and analysis
Super LeagueMatchday 3Kick-off on February 4, 2017 at 08:45 AM (UTC)Stadium Shah Alam, Shah Alam
Full time
What was the result of Pkns FC vs Selangor?
Pkns FC won 5-3 on February 4, 2017.
Goalscorers
- 1′Syahmi SafariSelangor
- 20′P. WlehPkns FC
- 25′Mohd Safee bin Mohd SaliPkns FC
- 28′Francis Doe ForkeySelangor
- 43′P. WlehPkns FC
- 47′Matías Nicolás Jadue GonzálezPkns FC
- 55′Francis Doe ForkeySelangor
- 58′P. WlehPkns FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pkns FC have 10 wins, 2 draws and 3 defeats; Selangor have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2017 | Kelantan FA(home) | 1-3 | Super League |
| Jan 21, 2017 | Felda United FC(away) | 0-1 | Super League |
| Oct 21, 2016 | Kuala Lumpur FA(away) | 2-0 | Premier League |
| Sep 23, 2016 | Melaka United(home) | 3-1 | Premier League |
| Sep 9, 2016 | ATM FA(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2017 | Melaka United(home) | 1-1 | Super League |
| Jan 21, 2017 | Penang(home) | 2-0 | Super League |
| Oct 22, 2016 | Johor Darul Takzim FC(home) | 1-2 | Super League |
| Sep 24, 2016 | Perak(home) | 0-1 | Super League |
| Sep 10, 2016 | Pahang(home) | 0-1 | Super League |
How many goals should we expect?
Pkns FC score 2.0 and concede 1.0 goals per match over their last 15; Selangor score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pkns FC | 2.0 | 1.0 | 6 | 7/15 | 9/15 |
| Selangor | 1.1 | 1.1 | 2 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Selangor | 6 | 6 | 0 | 0 | 17 | 4 | 18 |
A question about Pkns FC vs Selangor?
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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