Al-Musannah vs Al Nasr: result 2-0 and analysis
Professional LeagueRegular Season - 25Kick-off on April 20, 2016 at 03:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Musannah vs Al Nasr?
Al-Musannah won 2-0 on April 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Musannah have 3 wins, 2 draws and 10 defeats; Al Nasr have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Fanja(away) | 0-5 | Professional League |
| Apr 2, 2016 | Muscat(home) | 0-2 | Professional League |
| Mar 11, 2016 | Al Suwaiq(away) | 2-4 | Professional League |
| Mar 4, 2016 | Saham(home) | 1-3 | Professional League |
| Feb 19, 2016 | Al Oruba(home) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Dhofar(home) | 1-2 | Professional League |
| Apr 3, 2016 | Sur(away) | 2-2 | Professional League |
| Mar 11, 2016 | Salalah(home) | 2-1 | Professional League |
| Mar 3, 2016 | Sohar(away) | 0-0 | Professional League |
| Feb 19, 2016 | Al-Shabab(home) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al-Musannah win(s), 0 draw(s), 1 Al Nasr win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2015 | Al Nasr 1-0 Al-Musannah | Professional League |
Last archived meeting: Al Nasr vs Al-Musannah on Dec 17, 2015
How many goals should we expect?
Al-Musannah score 0.7 and concede 1.7 goals per match over their last 15; Al Nasr score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Musannah | 0.7 | 1.7 | 1 | 6/15 | 5/15 |
| Al Nasr | 0.7 | 0.7 | 9 | 4/15 | 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