Al Nasr vs Al Suwaiq: result 1-2 and analysis
Professional LeagueRegular Season - 1Kick-off on September 14, 2013 at 04:15 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Nasr vs Al Suwaiq?
Al Suwaiq won 1-2 on September 14, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 7 wins, 5 draws and 3 defeats; Al Suwaiq have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2013 | Fanja(away) | 0-2 | Professional League |
| May 12, 2013 | Salalah(home) | 3-0 | Professional League |
| May 8, 2013 | Sur(away) | 2-1 | Professional League |
| Apr 26, 2013 | Saham(home) | 2-2 | Professional League |
| Apr 20, 2013 | Al Seeb(away) | 3-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2013 | Fanja(home) | 3-1 | Professional League |
| May 19, 2013 | Al Musannah(away) | 4-2 | Professional League |
| May 12, 2013 | Al Taleea(home) | 1-0 | Professional League |
| May 8, 2013 | Dhofar(away) | 3-1 | Professional League |
| Apr 24, 2013 | Salalah(away) | 2-1 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Nasr win(s), 2 draw(s), 0 Al Suwaiq win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 21, 2013 | Al Suwaiq 1-1 Al Nasr | Professional League |
| Nov 2, 2012 | Al Nasr 1-1 Al Suwaiq | Professional League |
How many goals should we expect?
Al Nasr score 1.5 and concede 0.9 goals per match over their last 15; Al Suwaiq score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 1.5 | 0.9 | 4 | 8/15 | 7/15 |
| Al Suwaiq | 1.3 | 0.9 | 5 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Al Nasr | 26 | 16 | 5 | 5 | 35 | 20 | 53 |
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