Sarawak FA vs UiTM FC: result 0-2 and analysis
Premier LeagueRegular Season - 15Kick-off on July 3, 2018 at 08:15 AM (UTC)Stadium Negeri, Kuching
Full time
What was the result of Sarawak FA vs UiTM FC?
UiTM FC won 0-2 on July 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarawak FA have 5 wins, 3 draws and 7 defeats; UiTM FC 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 |
|---|---|---|---|
| Jun 26, 2018 | Sabah FA(home) | 3-2 | Premier League |
| Jun 21, 2018 | Pdrm(away) | 0-1 | Premier League |
| Jun 9, 2018 | Petaling Jaya City(away) | 2-2 | Premier League |
| May 27, 2018 | UKM FC(away) | 1-2 | Premier League |
| May 22, 2018 | Johor Darul Tazim II(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2018 | Terengganu City II(home) | 2-3 | Premier League |
| Jun 19, 2018 | Felcra(away) | 0-1 | Premier League |
| Jun 7, 2018 | Sabah FA(home) | 0-3 | Premier League |
| May 25, 2018 | Petaling Jaya City(home) | 0-2 | Premier League |
| May 21, 2018 | Felda United FC(home) | 1-4 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sarawak FA win(s), 0 draw(s), 1 UiTM FC win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2018 | UiTM FC 3-2 Sarawak FA | Premier League |
Last archived meeting: UiTM FC vs Sarawak FA on Apr 23, 2018
How many goals should we expect?
Sarawak FA score 1.3 and concede 1.6 goals per match over their last 15; UiTM FC score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarawak FA | 1.3 | 1.6 | 2 | 10/15 | 8/15 |
| UiTM FC | 1.1 | 2.1 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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