Pahang vs Kedah: result 5-5 and analysis
Malaysia CupSemi-finalsKick-off on October 26, 2019 at 01:00 PM (UTC)Stadium Darulmakmur, Kuantan
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What was the result of Pahang vs Kedah?
Pahang and Kedah drew 5-5 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pahang have 11 wins, 2 draws and 2 defeats; Kedah have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Kedah(away) | 3-3 | Malaysia Cup |
| Sep 29, 2019 | Melaka United(home) | 3-1 | Malaysia Cup |
| Sep 22, 2019 | Melaka United(away) | 3-0 | Malaysia Cup |
| Sep 18, 2019 | Penang(away) | 2-0 | Malaysia Cup |
| Sep 14, 2019 | Perak(away) | 1-3 | Malaysia Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Pahang(home) | 3-3 | Malaysia Cup |
| Sep 29, 2019 | Pknp(home) | 4-1 | Malaysia Cup |
| Sep 25, 2019 | Pknp(away) | 2-1 | Malaysia Cup |
| Sep 17, 2019 | Negeri Sembilan(home) | 4-2 | Malaysia Cup |
| Sep 13, 2019 | Terengganu(away) | 3-2 | Malaysia Cup |
What does the head-to-head say?
Across the last 6 meetings: 2 Pahang wins, 3 draws, 1 Kedah win.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2019 | Kedah 3-3 Pahang | Malaysia Cup |
| Jun 14, 2019 | Kedah 0-0 Pahang | Super League |
| Mar 8, 2019 | Pahang 1-0 Kedah | Super League |
| May 22, 2018 | Kedah 2-0 Pahang | Super League |
| May 5, 2018 | Pahang 2-2 Kedah | Super League |
| Aug 5, 2017 | Pahang 2-1 Kedah | Super League |
How many goals should we expect?
Pahang score 2.4 and concede 1.3 goals per match over their last 15; Kedah score 2.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pahang | 2.4 | 1.3 | 5 | 10/15 | 11/15 |
| Kedah | 2.5 | 1.9 | 0 | 14/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Pahang vs Kedah?
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