Kedah vs Perak: result 3-1 and analysis
Super LeagueRegular Season - 20Kick-off on September 10, 2016 at 01:00 PM (UTC)Stadium Darul Aman, Alor Setar
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What was the result of Kedah vs Perak?
Kedah won 3-1 on September 10, 2016.
Goalscorers
- 7′Shane SmeltzKedah
- 59′Shane SmeltzKedah
- 82′Thiago Junio de AquinoPerak
- 85′Thiago FernandesKedah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kedah have 6 wins, 6 draws and 3 defeats; Perak have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2016 | Kelantan FA(away) | 2-1 | Super League |
| Aug 16, 2016 | Sarawak FA(home) | 2-1 | Super League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2016 | Penang(home) | 4-1 | Super League |
| Aug 16, 2016 | PBDKT T-Team(away) | 0-0 | Super League |
| Aug 6, 2016 | Johor Darul Takzim FC(home) | 0-1 | Super League |
| Aug 3, 2016 | Pdrm(home) | 1-0 | Super League |
| Jul 26, 2016 | Pahang(away) | 2-1 | Super League |
What does the head-to-head say?
In the last meeting: 0 Kedah wins, 1 draw, 0 Perak wins.
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2016 | Perak 0-0 Kedah | Super League |
How many goals should we expect?
Kedah score 1.3 and concede 1.5 goals per match over their last 15; Perak score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kedah | 1.3 | 1.5 | 4 | 10/15 | 7/15 |
| Perak | 1.6 | 1.5 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Kedah vs Perak?
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