Uzbekistan vs North Korea: result 2-0 and analysis
FriendliesFriendlies 3Kick-off on October 13, 2018 at 02:00 PM (UTC)Milliy Stadium, Tashkent
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What was the result of Uzbekistan vs North Korea?
Uzbekistan won 2-0 on October 13, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uzbekistan have 3 wins, 4 draws and 8 defeats; North Korea have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2018 | Iran(home) | 0-1 | Friendlies |
| Sep 6, 2018 | Syria(home) | 1-1 | Friendlies |
| Jun 7, 2018 | Uruguay(away) | 0-3 | Friendlies |
| May 19, 2018 | Iran(away) | 0-1 | Friendlies |
| Mar 27, 2018 | Morocco(away) | 0-2 | Friendlies |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2018 | Hong Kong(home) | 2-0 | Asian Cup - Qualification |
| Dec 16, 2017 | China(away) | 1-1 | EAFF E-1 Football Championship |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 2 Uzbekistan win(s), 0 draw(s), 1 North Korea win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2015 | Uzbekistan 3-1 North Korea | World Cup - Qualification Asia |
| Jun 16, 2015 | North Korea 4-2 Uzbekistan | World Cup - Qualification Asia |
| Jan 10, 2015 | Uzbekistan 1-0 North Korea | Asian Cup |
Last archived meeting: Uzbekistan vs North Korea on Nov 12, 2015
How many goals should we expect?
Uzbekistan score 0.8 and concede 1.1 goals per match over their last 15; North Korea score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzbekistan | 0.8 | 1.1 | 4 | 3/15 | 3/15 |
| North Korea | 1.6 | 1.4 | 4 | 7/15 | 7/15 |
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