Kedah vs Sabah FA: result 2-0 and analysis
Super LeagueRegular Season - 2Kick-off on March 9, 2021 at 01:00 PM (UTC)Stadium Darul Aman, Alor Setar
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What was the result of Kedah vs Sabah FA?
Kedah won 2-0 on March 9, 2021.
Goalscorers
- 15′T. KipréKedah
- 21′K. ShermanKedah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kedah have 9 wins, 1 draws and 5 defeats; Sabah FA have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | Johor Darul Takzim FC(away) | 0-2 | Super League |
| Nov 6, 2020 | Pahang(home) | 3-2 | Malaysia Cup |
| Oct 11, 2020 | Perak(away) | 3-2 | Super League |
| Oct 5, 2020 | Melaka United(home) | 1-0 | Super League |
| Sep 26, 2020 | Pahang(away) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Melaka United(away) | 1-1 | Super League |
| Oct 31, 2020 | UiTM FC(home) | 0-3 | Super League |
| Oct 2, 2020 | Johor Darul Takzim FC(away) | 1-4 | Super League |
| Sep 27, 2020 | Melaka United(home) | 3-2 | Super League |
| Sep 21, 2020 | Kedah(away) | 1-3 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 1 Kedah win(s), 0 draw(s), 0 Sabah FA win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2020 | Kedah 3-1 Sabah FA | Super League |
How many goals should we expect?
Kedah score 1.9 and concede 1.5 goals per match over their last 15; Sabah FA score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kedah | 1.9 | 1.5 | 3 | 10/15 | 9/15 |
| Sabah FA | 1.1 | 1.8 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sabah FA | 24 | 5 | 8 | 11 | 29 | 44 | 23 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy