UKM FC vs Sabah FA: result 0-1 and analysis
Premier LeagueMatchday 14Kick-off on May 17, 2019 at 02:00 PM (UTC)Stadium Majlis Perbandaran Selayang, Selayang
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What was the result of UKM FC vs Sabah FA?
Sabah FA won 0-1 on May 17, 2019.
Goalscorers
- 49′?Sabah FA
What is the recent form of both teams?
Over their last 15 matches in all competitions, UKM FC have 4 wins, 4 draws and 7 defeats; Sabah FA have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | UiTM FC(away) | 0-1 | Premier League |
| May 3, 2019 | Penang(home) | 1-1 | Premier League |
| Apr 27, 2019 | UiTM FC(home) | 0-5 | Premier League |
| Apr 20, 2019 | Sabah FA(away) | 1-3 | Premier League |
| Apr 13, 2019 | Selangor United(home) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Selangor United(home) | 1-0 | Premier League |
| Apr 20, 2019 | UKM FC(home) | 3-1 | Premier League |
| Apr 13, 2019 | UiTM FC(home) | 1-1 | Premier League |
| Apr 6, 2019 | Selangor United(away) | 1-2 | Premier League |
| Mar 30, 2019 | Penang(home) | 2-0 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 2 UKM FC wins, 0 draws, 1 Sabah FA win.
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2019 | Sabah FA 3-1 UKM FC | Premier League |
| Jun 2, 2018 | Sabah FA 1-3 UKM FC | Premier League |
| Apr 24, 2018 | UKM FC 3-2 Sabah FA | Premier League |
How many goals should we expect?
UKM FC score 1.1 and concede 1.5 goals per match over their last 15; Sabah FA score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UKM FC | 1.1 | 1.5 | 3 | 7/15 | 8/15 |
| Sabah FA | 1.6 | 1.4 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about UKM FC 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