South Korea vs Qatar: result 3-2 and analysis
World Cup - Qualification Asia3rd Round - 3Kick-off on October 6, 2016 at 11:00 AM (UTC)Yongin Mireu Stadium, Yongin
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What was the result of South Korea vs Qatar?
South Korea won 3-2 on October 6, 2016.
Goalscorers
- 11′Ki Sung-YuengSouth Korea
- 16′Hassan Al HaydosQatar (pen.)
- 45′Sebastián SoriaQatar
- 55′Ji Dong-WonSouth Korea
- 58′Son Heung-MinSouth Korea
What is the recent form of both teams?
Over their last 15 matches in all competitions, South Korea have 11 wins, 3 draws and 1 defeats; Qatar have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2016 | Syria(away) | 0-0 | World Cup - Qualification Asia |
| Sep 1, 2016 | China(home) | 3-2 | World Cup - Qualification Asia |
| Mar 29, 2016 | Kuwait(home) | 3-0 | World Cup - Qualification Asia |
| Mar 24, 2016 | Lebanon(home) | 1-0 | World Cup - Qualification Asia |
| Nov 17, 2015 | Laos(away) | 5-0 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2016 | Uzbekistan(home) | 0-1 | World Cup - Qualification Asia |
| Sep 1, 2016 | Iran(away) | 0-2 | World Cup - Qualification Asia |
| Mar 29, 2016 | China(away) | 0-2 | World Cup - Qualification Asia |
| Mar 24, 2016 | Hong Kong(home) | 2-0 | World Cup - Qualification Asia |
| Nov 17, 2015 | Bhutan(away) | 3-0 | World Cup - Qualification Asia |
How many goals should we expect?
South Korea score 2.4 and concede 0.3 goals per match over their last 15; Qatar score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South Korea | 2.4 | 0.3 | 12 | 3/15 | 7/15 |
| Qatar | 2.4 | 1.1 | 7 | 4/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Qatar | 2 | 1 | 1 | 0 | 2 | 1 | 4 |
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