Pahang vs Kedah: result 2-2 and analysis
Super LeagueRegular Season - 9Kick-off on May 5, 2018 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs Kedah?
Pahang and Kedah drew 2-2 on May 5, 2018.
Goalscorers
- 11′Vathanaka ChanPahang
- 18′Sandro da Silva MendonçaKedah
- 40′S. BaharudinPahang
- 51′Sandro da Silva MendonçaKedah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 10 wins, 3 draws and 2 defeats; Kedah have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2018 | Terengganu(away) | 3-1 | Super League |
| Apr 28, 2018 | Melaka United(home) | 2-0 | Super League |
| Apr 15, 2018 | Kuala Lumpur FA(away) | 2-2 | Super League |
| Mar 10, 2018 | Negeri Sembilan(home) | 4-0 | Super League |
| Feb 24, 2018 | Selangor(away) | 3-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2018 | Negeri Sembilan(home) | 3-3 | Super League |
| Apr 27, 2018 | Terengganu(away) | 1-1 | Super League |
| Apr 13, 2018 | Selangor(home) | 4-0 | Super League |
| Mar 10, 2018 | Kuala Lumpur FA(away) | 3-4 | Super League |
| Feb 25, 2018 | Pkns FC(away) | 4-3 | Super League |
What does the head-to-head say?
Across the last 4 meetings: 1 Pahang win(s), 1 draw(s), 2 Kedah win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2017 | Pahang 2-1 Kedah | Super League |
| Feb 11, 2017 | Kedah 4-1 Pahang | Super League |
| Aug 3, 2016 | Kedah 1-0 Pahang | Super League |
| May 4, 2016 | Pahang 1-1 Kedah | Super League |
How many goals should we expect?
Pahang score 1.9 and concede 0.7 goals per match over their last 15; Kedah score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 1.9 | 0.7 | 7 | 6/15 | 8/15 |
| Kedah | 2.0 | 1.7 | 5 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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