Kedah vs Sarawak FA: result 2-1 and analysis
Super LeagueRegular Season - 18Kick-off on August 16, 2016 at 01:00 PM (UTC)Stadium Darul Aman, Alor Setar
Full time
What was the result of Kedah vs Sarawak FA?
Kedah won 2-1 on August 16, 2016.
Goalscorers
- 51′N. MakecheSarawak FA
- 64′Tommy Mawat Anak BadaKedah (o.g.)
- 72′Liridon KrasniqiKedah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kedah have 5 wins, 7 draws and 3 defeats; Sarawak FA have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Selangor(home) | 1-0 | Super League |
| Aug 3, 2016 | Pahang(home) | 1-0 | Super League |
| Jul 26, 2016 | Penang(away) | 2-3 | Super League |
| Jul 23, 2016 | PBDKT T-Team(home) | 1-0 | Super League |
| Jul 16, 2016 | Johor Darul Takzim FC(away) | 0-5 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Penang(home) | 0-2 | Super League |
| Aug 3, 2016 | Terengganu(home) | 2-1 | Super League |
| Jul 26, 2016 | PBDKT T-Team(away) | 2-1 | Super League |
| Jul 22, 2016 | Johor Darul Takzim FC(home) | 1-2 | Super League |
| Jul 16, 2016 | Pahang(away) | 0-2 | Super League |
What does the head-to-head say?
In the last meeting: 0 Kedah wins, 1 draw, 0 Sarawak FA wins.
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2016 | Sarawak FA 1-1 Kedah | Super League |
How many goals should we expect?
Kedah score 1.2 and concede 1.4 goals per match over their last 15; Sarawak FA score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kedah | 1.2 | 1.4 | 5 | 9/15 | 6/15 |
| Sarawak FA | 1.5 | 1.9 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Kedah vs Sarawak FA?
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