Melaka United vs Penang: result 2-3 and analysis
Super LeagueRegular Season - 16Kick-off on July 15, 2017 at 01:00 PM (UTC)Stadium Hang Jebat, Melaka
Full time
What was the result of Melaka United vs Penang?
Penang won 2-3 on July 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Melaka United have 2 wins, 6 draws and 7 defeats; Penang have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2017 | Kedah(home) | 2-4 | Super League |
| Jul 1, 2017 | Pkns FC(away) | 1-1 | Super League |
| May 24, 2017 | Felda United FC(away) | 0-3 | Super League |
| May 6, 2017 | Johor Darul Takzim FC(home) | 1-1 | Super League |
| Apr 26, 2017 | Pkns FC(home) | 2-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2017 | Pkns FC(home) | 0-2 | Super League |
| Jul 1, 2017 | Johor Darul Takzim FC(away) | 0-2 | Super League |
| May 24, 2017 | Kelantan FA(away) | 2-2 | Super League |
| May 7, 2017 | Felda United FC(home) | 1-2 | Super League |
| Apr 26, 2017 | Johor Darul Takzim FC(home) | 1-2 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Melaka United win(s), 1 draw(s), 0 Penang win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 1, 2017 | Penang 1-1 Melaka United | Super League |
Last archived meeting: Penang vs Melaka United on Mar 1, 2017
How many goals should we expect?
Melaka United score 1.1 and concede 2.2 goals per match over their last 15; Penang score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melaka United | 1.1 | 2.2 | 2 | 10/15 | 8/15 |
| Penang | 0.7 | 2.1 | 1 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Penang | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
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