Muscat vs Saham: result 3-1 and analysis
Professional LeagueRegular Season - 16Kick-off on February 24, 2017 at 04:30 PM (UTC)Sultan Qaboos Sport Complex, Muscat
Full time
What was the result of Muscat vs Saham?
Muscat won 3-1 on February 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 3 wins, 5 draws and 7 defeats; Saham have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2017 | Al Nasr(away) | 5-1 | Professional League |
| Feb 3, 2017 | Dhofar(home) | 0-2 | Professional League |
| Dec 2, 2016 | Al Suwaiq(home) | 0-0 | Professional League |
| Nov 28, 2016 | Oman Club(away) | 1-0 | Professional League |
| Nov 23, 2016 | Fanja(away) | 1-3 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2017 | Muharraq(home) | 3-2 | AFC Champions League Two |
| Feb 16, 2017 | Al-Shabab(home) | 1-3 | Professional League |
| Feb 3, 2017 | Sohar(away) | 1-0 | Professional League |
| Dec 2, 2016 | Al-Nahda(away) | 0-3 | Professional League |
| Nov 28, 2016 | Al Oruba(home) | 3-2 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 0 Muscat wins, 1 draw, 2 Saham wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Muscat score 1.3 and concede 1.5 goals per match over their last 15; Saham score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 1.3 | 1.5 | 3 | 11/15 | 9/15 |
| Saham | 1.3 | 1.7 | 3 | 8/15 | 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 | Saham | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Muscat vs Saham?
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