Selangor vs Kelantan United: result 1-0 and analysis
Malaysia CupRound of 16Kick-off on November 1, 2022 at 01:00 PM (UTC)Stadium Petaling Jaya, Petaling Jaya
Full time
What was the result of Selangor vs Kelantan United?
Selangor won 1-0 on November 1, 2022.
Goalscorers
- 90′?Selangor (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Selangor have 6 wins, 4 draws and 5 defeats; Kelantan United have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2022 | Kelantan United(away) | 2-0 | Malaysia Cup |
| Oct 15, 2022 | Penang(away) | 1-1 | Super League |
| Oct 11, 2022 | Selangor United(away) | 1-0 | Super League |
| Oct 7, 2022 | Petaling Jaya City(away) | 1-0 | Super League |
| Oct 1, 2022 | Melaka United(home) | 5-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2022 | Selangor(home) | 0-2 | Malaysia Cup |
| Sep 30, 2022 | Kelantan FA(home) | 1-1 | Premier League |
| Sep 4, 2022 | Kuching FA(away) | 1-2 | Premier League |
| Aug 19, 2022 | Selangor II(home) | 4-0 | Premier League |
| Aug 15, 2022 | UiTM FC(home) | 3-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Selangor win, 0 draws, 0 Kelantan United wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2022 | Kelantan United 0-2 Selangor | Malaysia Cup |
Last archived meeting: Kelantan United vs Selangor on Oct 26, 2022
How many goals should we expect?
Selangor score 1.4 and concede 1.1 goals per match over their last 15; Kelantan United score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Selangor | 1.4 | 1.1 | 5 | 7/15 | 4/15 |
| Kelantan United | 1.3 | 1.2 | 3 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Selangor vs Kelantan United?
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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