Muscat vs Al-Shabab: result 0-1 and analysis
Professional LeagueRegular Season - 18Kick-off on February 3, 2016 at 03:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Muscat vs Al-Shabab?
Al-Shabab won 0-1 on February 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 3 wins, 8 draws and 4 defeats; Al-Shabab have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2016 | Al-Nahda(away) | 1-1 | Professional League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2016 | Al Suwaiq(home) | 1-1 | Professional League |
| Jan 27, 2016 | Saham(away) | 1-1 | Professional League |
| Jan 23, 2016 | Al-Musannah(home) | 1-0 | Professional League |
| Jan 18, 2016 | Dhofar(away) | 0-0 | Professional League |
| Dec 25, 2015 | Sur(away) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Muscat win(s), 1 draw(s), 0 Al-Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2015 | Al-Shabab 2-2 Muscat | Professional League |
How many goals should we expect?
Muscat score 1.2 and concede 1.3 goals per match over their last 15; Al-Shabab score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 1.2 | 1.3 | 3 | 11/15 | 6/15 |
| Al-Shabab | 1.1 | 1.6 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
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