Al Salam vs Muscat: result 1-3 and analysis
Professional LeagueRegular Season - 24Kick-off on May 22, 2018 at 06:00 PM (UTC)Sohar Regional Sports Complex, Sohar
Full time
What was the result of Al Salam vs Muscat?
Muscat won 1-3 on May 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Salam have 5 wins, 4 draws and 6 defeats; Muscat have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Al-Nahda(home) | 0-2 | Professional League |
| May 14, 2018 | Al Suwaiq(away) | 2-4 | Professional League |
| May 10, 2018 | Al Nasr(home) | 0-0 | Professional League |
| May 6, 2018 | Al-Shabab(away) | 2-1 | Professional League |
| May 2, 2018 | Al-Mudhaibi(home) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Dhofar(away) | 0-3 | Professional League |
| May 14, 2018 | Al-Nahda(away) | 3-1 | Professional League |
| May 10, 2018 | Al Suwaiq(home) | 1-3 | Professional League |
| May 6, 2018 | Al Nasr(away) | 1-1 | Professional League |
| May 2, 2018 | Al-Shabab(home) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Al Salam wins, 0 draws, 1 Muscat win.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2017 | Muscat 3-0 Al Salam | Professional League |
How many goals should we expect?
Al Salam score 1.1 and concede 1.4 goals per match over their last 15; Muscat score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Salam | 1.1 | 1.4 | 4 | 7/15 | 9/15 |
| Muscat | 1.3 | 1.5 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Al Salam vs Muscat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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