Saudi Arabia vs Thailand: result 1-0 and analysis
World Cup - Qualification Asia3rd Round - 1Kick-off on September 1, 2016 at 05:30 PM (UTC)King Fahd Sports City Stadium, Riyadh
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What was the result of Saudi Arabia vs Thailand?
Saudi Arabia won 1-0 on September 1, 2016.
Goalscorers
- 84′Nawaf Al AbidSaudi Arabia (pen.)
What is the recent form of both teams?
Over their last 14 matches in all competitions, Saudi Arabia have 7 wins, 2 draws and 5 defeats; Thailand have 9, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2016 | United Arab Emirates(away) | 1-1 | World Cup - Qualification Asia |
| Mar 24, 2016 | Malaysia(home) | 2-0 | World Cup - Qualification Asia |
| Nov 17, 2015 | Timor-Leste(away) | 10-0 | World Cup - Qualification Asia |
| Nov 9, 2015 | Palestine(away) | 0-0 | World Cup - Qualification Asia |
| Oct 8, 2015 | United Arab Emirates(home) | 2-1 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2016 | Iraq(away) | 2-2 | World Cup - Qualification Asia |
| Nov 12, 2015 | Chinese Taipei(home) | 4-2 | World Cup - Qualification Asia |
| Oct 13, 2015 | Vietnam(away) | 3-0 | World Cup - Qualification Asia |
| Sep 8, 2015 | Iraq(home) | 2-2 | World Cup - Qualification Asia |
| Jun 16, 2015 | Chinese Taipei(away) | 2-0 | World Cup - Qualification Asia |
How many goals should we expect?
Saudi Arabia score 2.4 and concede 1.2 goals per match over their last 14; Thailand score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saudi Arabia | 2.4 | 1.2 | 5 | 6/14 | 9/14 |
| Thailand | 2.2 | 0.9 | 7 | 6/13 | 8/13 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Saudi Arabia | 2 | 1 | 1 | 0 | 3 | 2 | 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