Sabah FA vs UiTM FC: result 3-1 and analysis
Premier LeagueRegular Season - 6Kick-off on April 10, 2018 at 12:15 PM (UTC)Likas Stadium, Kota Kinabalu
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What was the result of Sabah FA vs UiTM FC?
Sabah FA won 3-1 on April 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah FA have 8 wins, 5 draws and 2 defeats; UiTM FC have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2018 | Petaling Jaya City(away) | 1-1 | Premier League |
| Feb 24, 2018 | Sarawak FA(home) | 1-1 | Premier League |
| Feb 9, 2018 | Pdrm(home) | 2-0 | Premier League |
| Feb 6, 2018 | Felcra(away) | 1-1 | Premier League |
| Feb 2, 2018 | Terengganu City II(home) | 4-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Felcra(home) | 1-1 | Premier League |
| Feb 23, 2018 | Terengganu City II(away) | 3-2 | Premier League |
| Feb 7, 2018 | Johor Darul Tazim II(away) | 2-2 | Premier League |
| Feb 1, 2018 | Penang(home) | 3-1 | Premier League |
| Oct 27, 2017 | Kuantan FA(home) | 4-1 | Premier League |
What does the head-to-head say?
Across the last 4 meetings: 1 Sabah FA win(s), 0 draw(s), 3 UiTM FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 14, 2017 | UiTM FC 0-1 Sabah FA | Premier League |
| Feb 28, 2017 | Sabah FA 2-3 UiTM FC | Premier League |
| Oct 21, 2016 | Sabah FA 1-2 UiTM FC | Premier League |
| Feb 12, 2016 | UiTM FC 4-1 Sabah FA | Premier League |
How many goals should we expect?
Sabah FA score 1.8 and concede 1.0 goals per match over their last 15; UiTM FC score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah FA | 1.8 | 1.0 | 5 | 9/15 | 6/15 |
| UiTM FC | 1.8 | 1.5 | 0 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | UiTM FC | 18 | 6 | 2 | 10 | 18 | 25 | 20 |
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