Sabah FA vs UiTM FC: result 2-3 and analysis
Premier LeagueRegular Season - 7Kick-off on February 28, 2017 at 12:15 PM (UTC)Likas Stadium, Kota Kinabalu
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What was the result of Sabah FA vs UiTM FC?
UiTM FC won 2-3 on February 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah FA have 3 wins, 3 draws and 9 defeats; UiTM FC 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 |
|---|---|---|---|
| Feb 17, 2017 | Johor Darul Tazim II(away) | 0-1 | Premier League |
| Feb 10, 2017 | ATM FA(home) | 2-5 | Premier League |
| Feb 3, 2017 | Perlis(away) | 3-1 | Premier League |
| Jan 26, 2017 | Kuala Lumpur FA(home) | 1-2 | Premier League |
| Jan 20, 2017 | Negeri Sembilan(away) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2017 | Johor Darul Tazim II(home) | 2-2 | Premier League |
| Feb 17, 2017 | ATM FA(away) | 3-1 | Premier League |
| Feb 10, 2017 | Perlis(home) | 2-2 | Premier League |
| Feb 3, 2017 | Kuala Lumpur FA(away) | 1-1 | Premier League |
| Jan 20, 2017 | Kuantan FA(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sabah FA win(s), 0 draw(s), 2 UiTM FC win(s).
| Date | Score | Competition |
|---|---|---|
| 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 1.2 and concede 2.0 goals per match over their last 15; UiTM FC score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah FA | 1.2 | 2.0 | 2 | 10/15 | 12/15 |
| UiTM FC | 1.3 | 2.0 | 2 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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