Saham vs Muscat: result 1-1 and analysis
Professional LeagueRegular Season - 3Kick-off on September 27, 2016 at 01:30 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Muscat?
Saham and Muscat drew 1-1 on September 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 4 wins, 6 draws and 5 defeats; Muscat have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2016 | Al-Shabab(away) | 0-1 | Professional League |
| Sep 17, 2016 | Sohar(home) | 1-1 | Professional League |
| Apr 24, 2016 | Al Nasr(away) | 2-3 | Professional League |
| Apr 20, 2016 | Fanja(home) | 1-2 | Professional League |
| Apr 10, 2016 | Muscat(away) | 2-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2016 | Al Nasr(home) | 1-2 | Professional League |
| Sep 17, 2016 | Dhofar(away) | 1-2 | Professional League |
| Apr 24, 2016 | Al Oruba(home) | 1-0 | Professional League |
| Apr 20, 2016 | Al Suwaiq(away) | 1-2 | Professional League |
| Apr 10, 2016 | Saham(home) | 1-2 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 2 Saham wins, 0 draws, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| 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 1.2 and concede 1.3 goals per match over their last 15; Muscat score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.2 | 1.3 | 4 | 10/15 | 8/15 |
| Muscat | 1.3 | 1.1 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Saham | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Saham vs Muscat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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