Match

China vs North Korea: result 2-1 and analysis

Asian CupGroup Stage - 3Kick-off on January 18, 2015 at 09:00 AM (UTC)Beijing National Stadium, Beijing

China
2-1
North Korea

Full time

What was the result of China vs North Korea?

China won 2-1 on January 18, 2015.

Goalscorers

  • 1′Sun KeChina
  • 42′Sun KeChina
  • 56′Gao LinNorth Korea (o.g.)

Official lineup for China vs North Korea

The starting elevens fielded at kick-off.

China

  1. 16Sun Ke
  2. 18Gao Lin
  1. 8Cai Huikang
  2. 10Zheng Zhi
  3. 11Hao Junmin
  4. 17Zhang Chengdong
  5. 21Yu Hai
  1. 3Mei Fang
  2. 4Jiang Zhipeng
  3. 5Zhang Linpeng
  1. 23Wang Dalei

North Korea

  1. 10Pak Kwang-Ryong
  2. 11Jong Il-Gwan
  1. 8Ryang Yong-Gi
  2. 9Song-Chol Pak
  3. 21Hyok-Chol O
  1. 3Song-Hyok Jang
  2. 4Jon Kwang-Ik
  3. 6Hak-Su Ro
  4. 13Hyon-Jin Sim
  5. 15Kuk-Chol Jang
  1. 1Myong-Guk Ri
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What is the recent form of both teams?

Over their last 5 matches in all competitions, China have 3 wins, 1 draw and 1 defeat; North Korea have 2, 2 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

China
DateOpponentScoreCompetition
Jan 14, 2015Uzbekistan(home)2-1Asian Cup
Jan 10, 2015Saudi Arabia(away)1-0Asian Cup
Jan 16, 2011Uzbekistan(home)2-2Asian Cup
Jan 12, 2011Qatar(home)0-2Asian Cup
Jan 8, 2011Kuwait(away)2-0Asian Cup
North Korea
DateOpponentScoreCompetition
Jan 14, 2015Saudi Arabia(home)1-4Asian Cup
Jan 10, 2015Uzbekistan(away)0-1Asian Cup
Nov 19, 2014Chinese Taipei(away)0-0EAFF E-1 Football Championship
Nov 16, 2014Guam(away)5-1EAFF E-1 Football Championship
Nov 13, 2014Hong Kong(home)2-1EAFF E-1 Football Championship

How many goals should we expect?

China score 1.4 and concede 1.0 goals per match over their last 5; North Korea score 0.8 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
China1.41.022/52/5
North Korea0.81.924/116/11

Over the last 5 matches in all competitions.

A question about China vs North Korea?

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

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