North Korea vs Malaysia: result 4-1 and analysis
Asian Cup - QualificationGroup Stage - 1Kick-off on November 10, 2017 at 01:00 PM (UTC)Mong Kok Stadium, Hong Kong
Full time
What was the result of North Korea vs Malaysia?
North Korea won 4-1 on November 10, 2017.
Goalscorers
- 12′Pak Kwang-RyongNorth Korea (pen.)
- 42′Yu-Song KimNorth Korea
- 48′Yong-Il KimNorth Korea
- 59′Jong Il-GwanNorth Korea
- 67′Safawi RasidMalaysia
What is the recent form of both teams?
Over their last 15 matches in all competitions, North Korea have 6 wins, 5 draws and 4 defeats; Malaysia have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2017 | Lebanon(away) | 0-5 | Asian Cup - Qualification |
| Sep 5, 2017 | Lebanon(home) | 2-2 | Asian Cup - Qualification |
| Jul 16, 2017 | Burkina Faso(away) | 3-3 | Friendlies |
| Jul 14, 2017 | Thailand(away) | 0-3 | Friendlies |
| Jun 13, 2017 | Hong Kong(away) | 1-1 | Asian Cup - Qualification |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2017 | Hong Kong(away) | 0-2 | Asian Cup - Qualification |
| Sep 5, 2017 | Hong Kong(home) | 1-1 | Asian Cup - Qualification |
| Aug 29, 2017 | Myanmar(away) | 0-1 | Friendlies |
| Aug 22, 2017 | Syria(home) | 1-2 | Friendlies |
| Jun 13, 2017 | Lebanon(home) | 1-2 | Asian Cup - Qualification |
How many goals should we expect?
North Korea score 1.3 and concede 1.5 goals per match over their last 15; Malaysia score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| North Korea | 1.3 | 1.5 | 7 | 6/15 | 7/15 |
| Malaysia | 0.9 | 1.5 | 4 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Malaysia | 6 | 3 | 0 | 3 | 10 | 10 | 9 |
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