South Korea vs Syria: result 1-0 and analysis
World Cup - Qualification Asia3rd Round - 7Kick-off on March 28, 2017 at 12:00 PM (UTC)Yongin Mireu Stadium, Yongin
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What was the result of South Korea vs Syria?
South Korea won 1-0 on March 28, 2017.
Goalscorers
- 4′Hong Jeong-HoSouth Korea
What is the recent form of both teams?
Over their last 15 matches in all competitions, South Korea have 10 wins, 3 draws and 2 defeats; Syria have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2017 | China(away) | 0-1 | World Cup - Qualification Asia |
| Nov 15, 2016 | Uzbekistan(home) | 2-1 | World Cup - Qualification Asia |
| Oct 11, 2016 | Iran(away) | 0-1 | World Cup - Qualification Asia |
| Oct 6, 2016 | Qatar(home) | 3-2 | World Cup - Qualification Asia |
| Sep 6, 2016 | Syria(away) | 0-0 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2017 | Uzbekistan(home) | 1-0 | World Cup - Qualification Asia |
| Nov 15, 2016 | Iran(home) | 0-0 | World Cup - Qualification Asia |
| Oct 11, 2016 | Qatar(away) | 0-1 | World Cup - Qualification Asia |
| Oct 6, 2016 | China(away) | 1-0 | World Cup - Qualification Asia |
| Sep 6, 2016 | South Korea(home) | 0-0 | World Cup - Qualification Asia |
What does the head-to-head say?
Across the last 1 meetings: 0 South Korea win(s), 1 draw(s), 0 Syria win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2016 | Syria 0-0 South Korea | World Cup - Qualification Asia |
How many goals should we expect?
South Korea score 2.3 and concede 0.5 goals per match over their last 15; Syria score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South Korea | 2.3 | 0.5 | 9 | 4/15 | 8/15 |
| Syria | 1.9 | 1.0 | 8 | 3/15 | 8/15 |
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