Pahang vs Penang: result 6-1 and analysis
Super LeagueRegular Season - 5Kick-off on February 18, 2017 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs Penang?
Pahang won 6-1 on February 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 5 wins, 4 draws and 6 defeats; Penang have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Kedah(away) | 1-4 | Super League |
| Feb 4, 2017 | Sarawak FA(away) | 1-0 | Super League |
| Jan 27, 2017 | PBDKT T-Team(home) | 5-0 | Super League |
| Jan 21, 2017 | Perak(away) | 1-1 | Super League |
| Oct 22, 2016 | PBDKT T-Team(away) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Sarawak FA(home) | 0-1 | Super League |
| Feb 4, 2017 | PBDKT T-Team(away) | 0-1 | Super League |
| Jan 27, 2017 | Perak(home) | 0-1 | Super League |
| Jan 21, 2017 | Selangor(away) | 0-2 | Super League |
| Oct 22, 2016 | Terengganu(home) | 1-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Pahang win, 0 draws, 1 Penang win.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Pahang 1-0 Penang | Super League |
| Feb 16, 2016 | Penang 4-1 Pahang | Super League |
How many goals should we expect?
Pahang score 1.0 and concede 1.3 goals per match over their last 15; Penang score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 1.0 | 1.3 | 6 | 5/15 | 5/15 |
| Penang | 1.2 | 1.5 | 2 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Penang | 6 | 1 | 1 | 4 | 5 | 10 | 4 |
A question about Pahang vs Penang?
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