Muscat vs Al Nasr: result 1-2 and analysis
Professional LeagueRegular Season - 2Kick-off on September 22, 2016 at 01:30 PM (UTC)Sultan Qaboos Sport Complex, Masqaṭ (Muscat)
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What was the result of Muscat vs Al Nasr?
Al Nasr won 1-2 on September 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 6 wins, 4 draws and 5 defeats; Al Nasr have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Dhofar(away) | 1-2 | Professional League |
| Apr 24, 2016 | Al Oruba(home) | 1-0 | Professional League |
| Apr 20, 2016 | Al Suwaiq(away) | 1-2 | Professional League |
| Apr 10, 2016 | Saham(home) | 1-2 | Professional League |
| Apr 2, 2016 | Al-Musannah(away) | 2-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | Al-Shabab(home) | 2-2 | Professional League |
| Apr 24, 2016 | Saham(home) | 3-2 | Professional League |
| Apr 20, 2016 | Al-Musannah(away) | 0-2 | Professional League |
| Apr 10, 2016 | Dhofar(home) | 1-2 | Professional League |
| Apr 3, 2016 | Sur(away) | 2-2 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 1 Muscat win(s), 0 draw(s), 1 Al Nasr win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 22, 2016 | Al Nasr 1-2 Muscat | Professional League |
| Sep 17, 2015 | Muscat 1-2 Al Nasr | Professional League |
How many goals should we expect?
Muscat score 1.2 and concede 0.9 goals per match over their last 15; Al Nasr score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 1.2 | 0.9 | 5 | 8/15 | 6/15 |
| Al Nasr | 0.9 | 1.1 | 6 | 6/15 | 6/15 |
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