Al Nasr vs Al-Shabab: result 1-0 and analysis
Professional LeagueRegular Season - 20Kick-off on February 19, 2016 at 03:30 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Nasr vs Al-Shabab?
Al Nasr won 1-0 on February 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 5 wins, 6 draws and 4 defeats; Al-Shabab have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2016 | Al-Nahda(away) | 0-2 | Professional League |
| Feb 4, 2016 | Al-Khabourah(home) | 1-0 | Professional League |
| Jan 31, 2016 | Al Oruba(away) | 0-1 | Professional League |
| Jan 27, 2016 | Fanja(away) | 0-0 | Professional League |
| Jan 22, 2016 | Muscat(home) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2016 | Fanja(home) | 0-1 | Professional League |
| Feb 3, 2016 | Muscat(away) | 1-0 | Professional League |
| Jan 30, 2016 | Al Suwaiq(home) | 1-1 | Professional League |
| Jan 27, 2016 | Saham(away) | 1-1 | Professional League |
| Jan 23, 2016 | Al-Musannah(home) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Nasr win(s), 1 draw(s), 0 Al-Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 23, 2015 | Al-Shabab 1-1 Al Nasr | Professional League |
How many goals should we expect?
Al Nasr score 0.6 and concede 0.6 goals per match over their last 15; Al-Shabab score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 0.6 | 0.6 | 9 | 4/15 | 2/15 |
| Al-Shabab | 1.1 | 1.5 | 4 | 9/15 | 7/15 |
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 Al-Shabab sit 2nd (54 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
| 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