Penang vs Sabah FA: result 0-0 and analysis
Premier LeagueRegular Season - 15Kick-off on May 25, 2019 at 02:00 PM (UTC)Stadium Bandar Raya Pulau Pinang, George Town
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What was the result of Penang vs Sabah FA?
Penang and Sabah FA drew 0-0 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Penang have 4 wins, 4 draws and 7 defeats; Sabah FA have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Johor Darul Tazim II(away) | 2-0 | Premier League |
| May 11, 2019 | Kelantan FA(home) | 4-1 | Premier League |
| May 3, 2019 | UKM FC(away) | 1-1 | Premier League |
| Apr 26, 2019 | Kelantan FA(away) | 1-2 | Premier League |
| Apr 19, 2019 | Johor Darul Tazim II(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2019 | UKM FC(away) | 1-0 | Premier League |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 Penang win, 1 draw, 1 Sabah FA win.
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Sabah FA 2-0 Penang | Premier League |
| Jul 18, 2018 | Sabah FA 0-0 Penang | Premier League |
| Apr 28, 2018 | Penang 2-1 Sabah FA | Premier League |
How many goals should we expect?
Penang score 1.2 and concede 1.5 goals per match over their last 15; Sabah FA score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Penang | 1.2 | 1.5 | 2 | 10/15 | 6/15 |
| Sabah FA | 1.6 | 1.3 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Penang 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