Syria vs China: result 2-1 and analysis
World Cup - Qualification AsiaGroup A - 5Kick-off on November 14, 2019 at 02:00 PM (UTC)Shabab Al Ahli Stadium, Dubayy (Dubai)
Full time
What was the result of Syria vs China?
Syria won 2-1 on November 14, 2019.
Goalscorers
- 19′Osama OmariSyria
- 29′Wu LeiChina
- 76′Zhang LinpengSyria (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syria have 6 wins, 3 draws and 6 defeats; China have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2019 | Guam(home) | 4-0 | World Cup - Qualification Asia |
| Oct 10, 2019 | Maldives(home) | 2-1 | World Cup - Qualification Asia |
| Sep 5, 2019 | Philippines(away) | 5-2 | World Cup - Qualification Asia |
| Jun 11, 2019 | Uzbekistan(away) | 0-2 | Friendlies |
| Jun 6, 2019 | Iran(away) | 0-5 | Friendlies |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2019 | Philippines(away) | 0-0 | World Cup - Qualification Asia |
| Oct 10, 2019 | Guam(home) | 7-0 | World Cup - Qualification Asia |
| Sep 10, 2019 | Maldives(away) | 5-0 | World Cup - Qualification Asia |
| Jun 11, 2019 | Tajikistan(home) | 1-0 | Friendlies |
| Jun 7, 2019 | Philippines(home) | 2-0 | Friendlies |
What does the head-to-head say?
Across the last 3 meetings: 1 Syria win(s), 1 draw(s), 1 China win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2018 | China 2-0 Syria | Friendlies |
| Jun 13, 2017 | Syria 2-2 China | World Cup - Qualification Asia |
| Oct 6, 2016 | China 0-1 Syria | World Cup - Qualification Asia |
How many goals should we expect?
Syria score 1.2 and concede 1.3 goals per match over their last 15; China score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syria | 1.2 | 1.3 | 5 | 5/15 | 6/15 |
| China | 1.7 | 0.7 | 8 | 3/15 | 6/15 |
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