Al Nasr vs Saham: result 0-1 and analysis
Professional LeagueRegular Season - 8Kick-off on November 7, 2013 at 03:30 PM (UTC)Al-Saada Stadium, Salalah
Full time
What was the result of Al Nasr vs Saham?
Saham won 0-1 on November 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 8 wins, 2 draws and 5 defeats; Saham have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | Al Shabab(away) | 0-4 | Professional League |
| Oct 26, 2013 | Mjees(away) | 2-0 | Professional League |
| Oct 19, 2013 | Al Ittehad(home) | 2-0 | Professional League |
| Oct 5, 2013 | Fanja(away) | 0-0 | Professional League |
| Sep 26, 2013 | Sur(home) | 2-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Mjees(home) | 2-1 | Professional League |
| Oct 25, 2013 | Al Ittehad(away) | 3-1 | Professional League |
| Oct 20, 2013 | Fanja(home) | 0-0 | Professional League |
| Oct 5, 2013 | Sur(away) | 1-2 | Professional League |
| Sep 28, 2013 | Dhofar(home) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Nasr win(s), 1 draw(s), 1 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2013 | Al Nasr 2-2 Saham | Professional League |
| Jan 14, 2013 | Saham 3-0 Al Nasr | Professional League |
How many goals should we expect?
Al Nasr score 1.5 and concede 1.1 goals per match over their last 15; Saham score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 1.5 | 1.1 | 5 | 6/15 | 9/15 |
| Saham | 1.5 | 1.1 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al Nasr sit 3rd in Professional League (53 points from 26 matches) and Saham sit 11th (26 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Al Nasr | 26 | 16 | 5 | 5 | 35 | 20 | 53 |
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
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