North Korea vs Lebanon: result 2-2 and analysis
Asian Cup - QualificationGroup Stage - 3Kick-off on September 5, 2017 at 08:30 AM (UTC)Mong Kok Stadium, Hong Kong
Full time
What was the result of North Korea vs Lebanon?
North Korea and Lebanon drew 2-2 on September 5, 2017.
Goalscorers
- 23′Yu-Song KimNorth Korea
- 47′Nour MansourLebanon
- 87′Lee Yong-JickNorth Korea
- 90′Hassan MaatoukLebanon
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; Lebanon have 5, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 6, 2017 | Qatar(away) | 2-2 | Friendlies |
| Nov 12, 2016 | Hong Kong(away) | 1-0 | EAFF E-1 Football Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2017 | Malaysia(away) | 2-1 | Asian Cup - Qualification |
| Mar 28, 2017 | Hong Kong(home) | 2-0 | Asian Cup - Qualification |
| Mar 29, 2016 | Myanmar(home) | 1-1 | World Cup - Qualification Asia |
| Mar 24, 2016 | South Korea(away) | 0-1 | World Cup - Qualification Asia |
| Nov 12, 2015 | Laos(home) | 7-0 | World Cup - Qualification Asia |
How many goals should we expect?
North Korea score 1.2 and concede 1.1 goals per match over their last 15; Lebanon score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| North Korea | 1.2 | 1.1 | 8 | 5/15 | 5/15 |
| Lebanon | 1.6 | 0.7 | 5 | 2/10 | 3/10 |
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 | Lebanon | 6 | 4 | 1 | 1 | 14 | 2 | 13 |
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