Felcra vs UiTM FC: result 1-0 and analysis
Premier LeagueRegular Season - 17Kick-off on June 19, 2018 at 01:00 PM (UTC)Stadium Shah Alam, Shah Alam
Full time
What was the result of Felcra vs UiTM FC?
Felcra won 1-0 on June 19, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Felcra have 5 wins, 7 draws and 1 defeat; UiTM FC have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2018 | UKM FC(away) | 0-2 | Premier League |
| Jun 2, 2018 | Felda United FC(home) | 1-1 | Premier League |
| May 21, 2018 | Terengganu City II(home) | 3-1 | Premier League |
| May 4, 2018 | Terengganu City II(away) | 1-1 | Premier League |
| Apr 27, 2018 | Johor Darul Tazim II(away) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 12, 2018 | UKM FC(away) | 0-0 | Premier League |
| May 4, 2018 | Felda United FC(away) | 0-2 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Felcra wins, 1 draw, 0 UiTM FC wins.
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2018 | UiTM FC 1-1 Felcra | Premier League |
How many goals should we expect?
Felcra score 1.5 and concede 1.2 goals per match over their last 13; UiTM FC score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Felcra | 1.5 | 1.2 | 0 | 12/13 | 5/13 |
| UiTM FC | 1.4 | 2.0 | 2 | 9/15 | 10/15 |
Over the last 13 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 |
A question about Felcra vs UiTM FC?
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