Sabah FA vs Pdrm: result 2-0 and analysis
Premier LeagueRegular Season - 3Kick-off on February 9, 2018 at 12:15 PM (UTC)Likas Stadium, Kota Kinabalu
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What was the result of Sabah FA vs Pdrm?
Sabah FA won 2-0 on February 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah FA have 9 wins, 3 draws and 3 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 6, 2018 | Felcra(away) | 1-1 | Premier League |
| Feb 2, 2018 | Terengganu City II(home) | 4-0 | Premier League |
| Oct 27, 2017 | Negeri Sembilan(home) | 2-1 | Premier League |
| Sep 26, 2017 | Kuala Lumpur FA(away) | 0-2 | Premier League |
| Sep 19, 2017 | Perlis(home) | 5-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 26, 2017 | Terengganu(home) | 0-3 | Premier League |
| Sep 19, 2017 | Kuantan FA(home) | 5-3 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sabah FA win, 0 draws, 1 Pdrm win.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2017 | Pdrm 0-1 Sabah FA | Premier League |
| Apr 25, 2017 | Sabah FA 1-3 Pdrm | Premier League |
How many goals should we expect?
Sabah FA score 1.9 and concede 1.2 goals per match over their last 15; Pdrm score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah FA | 1.9 | 1.2 | 4 | 10/15 | 9/15 |
| Pdrm | 1.5 | 2.3 | 0 | 10/15 | 11/15 |
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 Sabah 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