Al Nasr vs Muscat: result 1-2 and analysis
Professional LeagueRegular Season - 15Kick-off on January 22, 2016 at 04:15 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Nasr vs Muscat?
Muscat won 1-2 on January 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 5 wins, 7 draws and 3 defeats; Muscat have 1, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2016 | Al Suwaiq(away) | 0-0 | Professional League |
| Dec 25, 2015 | Saham(away) | 1-0 | Professional League |
| Dec 17, 2015 | Al-Musannah(home) | 1-0 | Professional League |
| Dec 11, 2015 | Dhofar(away) | 0-0 | Professional League |
| Dec 6, 2015 | Sur(home) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2016 | Fanja(home) | 1-1 | Professional League |
| Dec 26, 2015 | Al Oruba(away) | 0-0 | Professional League |
| Dec 18, 2015 | Al Suwaiq(home) | 1-1 | Professional League |
| Dec 10, 2015 | Saham(away) | 0-1 | Professional League |
| Dec 6, 2015 | Al-Musannah(home) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Al Nasr win, 0 draws, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2015 | Muscat 1-2 Al Nasr | Professional League |
How many goals should we expect?
Al Nasr score 0.7 and concede 0.7 goals per match over their last 15; Muscat score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 0.7 | 0.7 | 8 | 6/15 | 3/15 |
| Muscat | 1.0 | 1.6 | 2 | 10/14 | 7/14 |
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 | 4 | 4 | 0 | 0 | 7 | 1 | 12 |
A question about Al Nasr vs Muscat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy