Saham vs Muscat: result 0-0 and analysis
Professional LeagueRegular Season - 16Kick-off on April 14, 2018 at 01:55 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Muscat?
Saham and Muscat drew 0-0 on April 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 4 wins, 4 draws and 7 defeats; Muscat have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2018 | Al-Nahda(away) | 2-2 | Professional League |
| Feb 7, 2018 | Al Suwaiq(home) | 2-3 | Professional League |
| Nov 28, 2017 | Al Nasr(home) | 0-2 | Professional League |
| Nov 24, 2017 | Al-Shabab(away) | 1-1 | Professional League |
| Nov 3, 2017 | Al-Mudhaibi(home) | 1-3 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2018 | Sohar(home) | 2-1 | Professional League |
| Feb 7, 2018 | Fanja(away) | 0-4 | Professional League |
| Nov 28, 2017 | Al Oruba(away) | 1-2 | Professional League |
| Nov 24, 2017 | Mrbat(home) | 3-1 | Professional League |
| Nov 3, 2017 | Al Salam(home) | 3-0 | Professional League |
What does the head-to-head say?
Across the last 5 meetings: 2 Saham win(s), 1 draw(s), 2 Muscat win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2017 | Muscat 3-1 Saham | Professional League |
| Feb 24, 2017 | Muscat 3-1 Saham | Professional League |
| Sep 27, 2016 | Saham 1-1 Muscat | Professional League |
| Apr 10, 2016 | Muscat 1-2 Saham | Professional League |
| Dec 10, 2015 | Saham 1-0 Muscat | Professional League |
How many goals should we expect?
Saham score 1.5 and concede 1.7 goals per match over their last 15; Muscat score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.5 | 1.7 | 2 | 11/15 | 10/15 |
| Muscat | 1.4 | 1.5 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
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