Singapore vs Syria: result 1-2 and analysis
World Cup - Qualification Asia2nd Round - 8Kick-off on November 17, 2015 at 12:00 PM (UTC)Bishan Stadium, Singapore
Full time
What was the result of Singapore vs Syria?
Syria won 1-2 on November 17, 2015.
Goalscorers
- 21′Omar KhribinSyria
- 89′S. BaharudinSingapore (pen.)
- 90′Omar KhribinSyria
What is the recent form of both teams?
Over their last 9 matches in all competitions, Singapore have 4 wins, 1 draws and 4 defeats; Syria have 5, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2015 | Japan(home) | 0-3 | World Cup - Qualification Asia |
| Oct 13, 2015 | Cambodia(home) | 2-1 | World Cup - Qualification Asia |
| Oct 8, 2015 | Afghanistan(home) | 1-0 | World Cup - Qualification Asia |
| Sep 3, 2015 | Syria(away) | 0-1 | World Cup - Qualification Asia |
| Jun 16, 2015 | Japan(away) | 0-0 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2015 | Afghanistan(home) | 5-2 | World Cup - Qualification Asia |
| Oct 8, 2015 | Japan(home) | 0-3 | World Cup - Qualification Asia |
| Sep 8, 2015 | Cambodia(away) | 6-0 | World Cup - Qualification Asia |
| Sep 3, 2015 | Singapore(home) | 1-0 | World Cup - Qualification Asia |
| Jun 11, 2015 | Afghanistan(away) | 6-0 | World Cup - Qualification Asia |
What does the head-to-head say?
Across the last 1 meetings: 0 Singapore win(s), 0 draw(s), 1 Syria win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2015 | Syria 1-0 Singapore | World Cup - Qualification Asia |
How many goals should we expect?
Singapore score 1.4 and concede 1.3 goals per match over their last 9; Syria score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Singapore | 1.4 | 1.3 | 3 | 4/9 | 6/9 |
| Syria | 2.8 | 1.3 | 3 | 4/8 | 7/8 |
Over the last 9 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