Pahang vs Selangor United: result 1-2 and analysis
Malaysia CupGroup Stage - 5Kick-off on November 7, 2021 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
Full time
What was the result of Pahang vs Selangor United?
Selangor United won 1-2 on November 7, 2021.
Goalscorers
- 14′K. AthiuPahang
- 31′?Selangor United
- 90′?Selangor United
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 4 wins, 4 draws and 7 defeats; Selangor United 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 |
|---|---|---|---|
| Nov 3, 2021 | Penang(away) | 5-0 | Malaysia Cup |
| Oct 30, 2021 | Penang(home) | 4-0 | Malaysia Cup |
| Sep 29, 2021 | Selangor United(away) | 0-1 | Malaysia Cup |
| Sep 26, 2021 | Kuala Lumpur FA(away) | 1-3 | Malaysia Cup |
| Sep 12, 2021 | UiTM FC(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | Kuala Lumpur FA(home) | 2-2 | Malaysia Cup |
| Oct 30, 2021 | Kuala Lumpur FA(away) | 0-4 | Malaysia Cup |
| Sep 29, 2021 | Pahang(home) | 1-0 | Malaysia Cup |
| Sep 26, 2021 | Penang(away) | 3-1 | Malaysia Cup |
| Sep 21, 2021 | Johor Darul Tazim II(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Pahang wins, 0 draws, 1 Selangor United win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2021 | Selangor United 1-0 Pahang | Malaysia Cup |
Last archived meeting: Selangor United vs Pahang on Sep 29, 2021
How many goals should we expect?
Pahang score 1.5 and concede 1.5 goals per match over their last 15; Selangor United score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 1.5 | 1.5 | 3 | 7/15 | 9/15 |
| Selangor United | 1.7 | 1.1 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Pahang vs Selangor United?
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