Saham vs Salalah: result 3-1 and analysis
Professional LeagueRegular Season - 18Kick-off on February 3, 2016 at 01:15 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Salalah?
Saham won 3-1 on February 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 3 wins, 7 draws and 5 defeats; Salalah have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2016 | Sohar(away) | 0-0 | Professional League |
| Jan 27, 2016 | Al-Shabab(home) | 1-1 | Professional League |
| Jan 23, 2016 | Al-Nahda(away) | 1-3 | Professional League |
| Jan 18, 2016 | Al-Khabourah(home) | 0-0 | Professional League |
| Dec 25, 2015 | Al Nasr(home) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2016 | Al-Musannah(home) | 2-0 | Professional League |
| Jan 26, 2016 | Dhofar(away) | 0-1 | Professional League |
| Jan 22, 2016 | Sur(home) | 1-1 | Professional League |
| Jan 18, 2016 | Al Oruba(away) | 1-3 | Professional League |
| Dec 26, 2015 | Sohar(home) | 0-0 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 1 Saham win(s), 2 draw(s), 0 Salalah win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2015 | Salalah 0-0 Saham | Professional League |
| Feb 13, 2013 | Salalah 0-0 Saham | Professional League |
| Oct 19, 2012 | Saham 3-1 Salalah | Professional League |
How many goals should we expect?
Saham score 0.7 and concede 0.9 goals per match over their last 15; Salalah score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 0.7 | 0.9 | 7 | 4/15 | 2/15 |
| Salalah | 0.7 | 1.1 | 3 | 6/15 | 3/15 |
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