Sarawak FA vs Pdrm: result 2-1 and analysis
Premier LeagueRegular Season - 5Kick-off on March 9, 2018 at 08:15 AM (UTC)Stadium Negeri, Kuching
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What was the result of Sarawak FA vs Pdrm?
Sarawak FA won 2-1 on March 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarawak FA have 3 wins, 6 draws and 6 defeats; Pdrm 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 24, 2018 | Sabah FA(away) | 1-1 | Premier League |
| Feb 10, 2018 | Felcra(home) | 2-3 | Premier League |
| Feb 5, 2018 | Terengganu City II(away) | 1-1 | Premier League |
| Oct 28, 2017 | PBDKT T-Team(home) | 0-0 | Super League |
| Sep 27, 2017 | Kedah(home) | 4-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2018 | Penang(home) | 1-0 | Premier League |
| Feb 9, 2018 | Sabah FA(away) | 0-2 | Premier League |
| Feb 6, 2018 | Felda United FC(home) | 2-6 | Premier League |
| Feb 2, 2018 | Felcra(away) | 1-1 | Premier League |
| Oct 27, 2017 | Petaling Jaya City(away) | 0-3 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sarawak FA win, 0 draws, 1 Pdrm win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Sarawak FA 2-1 Pdrm | Super League |
| Feb 13, 2016 | Pdrm 1-0 Sarawak FA | Super League |
How many goals should we expect?
Sarawak FA score 1.1 and concede 1.5 goals per match over their last 15; Pdrm score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarawak FA | 1.1 | 1.5 | 5 | 8/15 | 6/15 |
| Pdrm | 1.3 | 2.3 | 1 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pdrm | 18 | 6 | 3 | 9 | 20 | 28 | 21 |
A question about Sarawak FA vs Pdrm?
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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