Sarawak FA vs Sabah FA: result 1-2 and analysis
Premier LeagueRegular Season - 4Kick-off on February 23, 2019 at 08:15 AM (UTC)Stadium Negeri, Kuching
Full time
What was the result of Sarawak FA vs Sabah FA?
Sabah FA won 1-2 on February 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarawak FA have 4 wins, 2 draws and 9 defeats; Sabah FA have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | Selangor United(away) | 2-3 | Premier League |
| Feb 9, 2019 | Penang(home) | 2-0 | Premier League |
| Feb 2, 2019 | Negeri Sembilan(away) | 1-2 | Premier League |
| Jul 27, 2018 | Felcra(away) | 0-2 | Premier League |
| Jul 21, 2018 | Terengganu City II(home) | 5-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | Terengganu City II(home) | 3-1 | Premier League |
| Feb 8, 2019 | Kelantan FA(away) | 3-3 | Premier League |
| Feb 2, 2019 | Johor Darul Tazim II(home) | 1-2 | Premier League |
| Oct 21, 2018 | Perak(home) | 2-2 | Malaysia Cup |
| Oct 7, 2018 | Perak(away) | 0-5 | Malaysia Cup |
What does the head-to-head say?
Across the last 2 meetings: 1 Sarawak FA win, 1 draw, 0 Sabah FA wins.
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2018 | Sarawak FA 3-2 Sabah FA | Premier League |
| Feb 24, 2018 | Sabah FA 1-1 Sarawak FA | Premier League |
Last archived meeting: Sarawak FA vs Sabah FA on Jun 26, 2018
How many goals should we expect?
Sarawak FA score 1.3 and concede 1.7 goals per match over their last 15; Sabah FA score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarawak FA | 1.3 | 1.7 | 2 | 8/15 | 7/15 |
| Sabah FA | 1.6 | 1.7 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Sarawak FA vs Sabah FA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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