Pahang vs Selangor: result 2-2 and analysis
Super LeagueRegular Season - 10Kick-off on April 15, 2017 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs Selangor?
Pahang and Selangor drew 2-2 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 8 wins, 3 draws and 4 defeats; Selangor have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Kelantan FA(away) | 2-1 | Super League |
| Mar 3, 2017 | Johor Darul Takzim FC(away) | 2-3 | Super League |
| Feb 28, 2017 | Pkns FC(home) | 3-0 | Super League |
| Feb 25, 2017 | Melaka United(away) | 3-1 | Super League |
| Feb 18, 2017 | Penang(home) | 6-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Sarawak FA(home) | 2-1 | Super League |
| Mar 4, 2017 | Perak(home) | 0-1 | Super League |
| Mar 1, 2017 | Kedah(home) | 1-1 | Super League |
| Feb 25, 2017 | Kelantan FA(away) | 2-0 | Super League |
| Feb 17, 2017 | Felda United FC(home) | 3-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Pahang win, 0 draws, 1 Selangor win.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Selangor 0-1 Pahang | Super League |
| Feb 27, 2016 | Pahang 1-3 Selangor | Super League |
How many goals should we expect?
Pahang score 1.9 and concede 1.1 goals per match over their last 15; Selangor score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 1.9 | 1.1 | 5 | 8/15 | 8/15 |
| Selangor | 1.1 | 1.1 | 3 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Selangor | 4 | 4 | 0 | 0 | 13 | 3 | 12 |
A question about Pahang vs Selangor?
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