Muscat vs Al-Nahda: result 2-0 and analysis
Professional LeagueRegular Season - 8Kick-off on October 27, 2016 at 01:00 PM (UTC)Sultan Qaboos Sport Complex, Masqaṭ (Muscat)
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What was the result of Muscat vs Al-Nahda?
Muscat won 2-0 on October 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 4 wins, 3 draws and 8 defeats; Al-Nahda have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Al Oruba(away) | 1-3 | Professional League |
| Oct 19, 2016 | Jaalan(home) | 2-2 | Professional League |
| Oct 15, 2016 | Al-Rustaq(away) | 1-2 | Professional League |
| Oct 1, 2016 | Al-Khabourah(home) | 1-2 | Professional League |
| Sep 27, 2016 | Saham(away) | 1-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Al-Shabab(home) | 1-1 | Professional League |
| Oct 19, 2016 | Sohar(away) | 2-4 | Professional League |
| Oct 14, 2016 | Fanja(away) | 2-2 | Professional League |
| Oct 1, 2016 | Al Oruba(home) | 0-0 | Professional League |
| Sep 27, 2016 | Jaalan(away) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Muscat win(s), 1 draw(s), 1 Al-Nahda win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 31, 2016 | Al-Nahda 1-1 Muscat | Professional League |
| Oct 18, 2015 | Muscat 1-2 Al-Nahda | Professional League |
How many goals should we expect?
Muscat score 1.3 and concede 1.5 goals per match over their last 15; Al-Nahda score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 1.3 | 1.5 | 3 | 11/15 | 10/15 |
| Al-Nahda | 1.4 | 1.1 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 26 | 13 | 5 | 8 | 31 | 23 | 44 |
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