Jordan vs North Korea: result 2-1 and analysis
FriendliesFriendlies 3Kick-off on August 29, 2024 at 04:00 PM (UTC)Amman International Stadium, Amman
Full time
What was the result of Jordan vs North Korea?
Jordan won 2-1 on August 29, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jordan have 9 wins, 2 draws and 4 defeats; North Korea have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2024 | North Korea(home) | 0-0 | Friendlies |
| Jun 11, 2024 | Saudi Arabia(away) | 2-1 | World Cup - Qualification Asia |
| Jun 6, 2024 | Tajikistan(home) | 3-0 | World Cup - Qualification Asia |
| Mar 26, 2024 | Pakistan(home) | 7-0 | World Cup - Qualification Asia |
| Mar 21, 2024 | Pakistan(away) | 3-0 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2024 | Jordan(away) | 0-0 | Friendlies |
| Jun 11, 2024 | Myanmar(home) | 4-1 | World Cup - Qualification Asia |
| Jun 6, 2024 | Syria(home) | 1-0 | World Cup - Qualification Asia |
| Mar 21, 2024 | Japan(away) | 0-1 | World Cup - Qualification Asia |
| Nov 21, 2023 | Myanmar(away) | 6-1 | World Cup - Qualification Asia |
What does the head-to-head say?
In the last meeting: 0 Jordan wins, 1 draw, 0 North Korea wins.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2024 | Jordan 0-0 North Korea | Friendlies |
Last archived meeting: Jordan vs North Korea on Aug 27, 2024
How many goals should we expect?
Jordan score 2.1 and concede 1.2 goals per match over their last 15; North Korea score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jordan | 2.1 | 1.2 | 7 | 7/15 | 11/15 |
| North Korea | 1.1 | 1.7 | 6 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Jordan vs North Korea?
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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