China vs North Korea: result 1-1 and analysis
EAFF E-1 Football ChampionshipFinal Round - 3Kick-off on December 16, 2017 at 07:30 AM (UTC)Beijing National Stadium, Beijing
Full time
What was the result of China vs North Korea?
China and North Korea drew 1-1 on December 16, 2017.
Goalscorers
- 28′Wei ShihaoChina
- 81′Jong Il-GwanNorth Korea
What is the recent form of both teams?
Over their last 15 matches in all competitions, China have 4 wins, 4 draws and 7 defeats; North Korea have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2017 | Japan(away) | 1-2 | EAFF E-1 Football Championship |
| Dec 9, 2017 | South Korea(away) | 2-2 | EAFF E-1 Football Championship |
| Nov 14, 2017 | Colombia(home) | 0-4 | Friendlies |
| Nov 10, 2017 | Serbia(home) | 0-2 | Friendlies |
| Sep 5, 2017 | Qatar(away) | 2-1 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2017 | South Korea(home) | 0-1 | EAFF E-1 Football Championship |
| Dec 9, 2017 | Japan(away) | 0-1 | EAFF E-1 Football Championship |
| Nov 13, 2017 | Malaysia(away) | 4-1 | Asian Cup - Qualification |
| Nov 10, 2017 | Malaysia(home) | 4-1 | Asian Cup - Qualification |
| Oct 10, 2017 | Lebanon(away) | 0-5 | Asian Cup - Qualification |
What does the head-to-head say?
Across the last 2 meetings: 2 China win(s), 0 draw(s), 0 North Korea win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2015 | China 2-0 North Korea | EAFF E-1 Football Championship |
| Jan 18, 2015 | China 2-1 North Korea | Asian Cup |
How many goals should we expect?
China score 1.2 and concede 1.4 goals per match over their last 15; North Korea score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| China | 1.2 | 1.4 | 3 | 6/15 | 6/15 |
| North Korea | 1.7 | 1.5 | 4 | 7/15 | 8/15 |
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