Pknp vs Sabah FA: result 1-1 and analysis
Premier LeagueRegular Season - 8Kick-off on March 3, 2017 at 01:00 PM (UTC)Mini Manjung Stadium, Manjung
Full time
What was the result of Pknp vs Sabah FA?
Pknp and Sabah FA drew 1-1 on March 3, 2017.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Pknp have 3 wins, 3 draws and 1 defeat; Sabah FA have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2017 | Johor Darul Tazim II(away) | 1-1 | Premier League |
| Feb 24, 2017 | ATM FA(home) | 1-0 | Premier League |
| Feb 17, 2017 | Perlis(away) | 2-1 | Premier League |
| Feb 10, 2017 | Kuala Lumpur FA(home) | 0-0 | Premier League |
| Feb 3, 2017 | Negeri Sembilan(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2017 | UiTM FC(home) | 2-3 | Premier League |
| Feb 17, 2017 | Johor Darul Tazim II(away) | 0-1 | Premier League |
| Feb 10, 2017 | ATM FA(home) | 2-5 | Premier League |
| Feb 3, 2017 | Perlis(away) | 3-1 | Premier League |
| Jan 26, 2017 | Kuala Lumpur FA(home) | 1-2 | Premier League |
How many goals should we expect?
Pknp score 1.0 and concede 0.7 goals per match over their last 7; Sabah FA score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pknp | 1.0 | 0.7 | 4 | 3/7 | 2/7 |
| Sabah FA | 1.3 | 2.1 | 2 | 10/15 | 12/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Pknp | 20 | 4 | 5 | 11 | 14 | 37 | 17 |
A question about Pknp vs Sabah FA?
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