Al-Nahda vs Muscat: result 1-1 and analysis
Professional LeagueRegular Season - 17Kick-off on January 31, 2016 at 03:15 PM (UTC)Al Nahdha Stadium, Al-Buraimi
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What was the result of Al-Nahda vs Muscat?
Al-Nahda and Muscat drew 1-1 on January 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Nahda have 5 wins, 5 draws and 5 defeats; Muscat have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2016 | Al Suwaiq(away) | 0-1 | Professional League |
| Jan 23, 2016 | Saham(home) | 3-1 | Professional League |
| Jan 18, 2016 | Al-Musannah(away) | 1-3 | Professional League |
| Dec 26, 2015 | Dhofar(away) | 2-3 | Professional League |
| Dec 17, 2015 | Sur(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2016 | Al-Khabourah(home) | 2-0 | Professional League |
| Jan 22, 2016 | Al Nasr(away) | 2-1 | Professional League |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Al-Nahda win, 0 draws, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2015 | Muscat 1-2 Al-Nahda | Professional League |
How many goals should we expect?
Al-Nahda score 1.1 and concede 1.1 goals per match over their last 15; Muscat score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Nahda | 1.1 | 1.1 | 5 | 8/15 | 6/15 |
| Muscat | 1.2 | 1.3 | 3 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 3 | 2 | 1 | 0 | 5 | 3 | 7 |
A question about Al-Nahda vs Muscat?
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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