Sohar vs Salalah: result 2-1 and analysis
Professional LeagueRegular Season - 26Kick-off on April 24, 2016 at 04:45 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Sohar vs Salalah?
Sohar won 2-1 on April 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sohar have 3 wins, 5 draws and 7 defeats; Salalah have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2016 | Al Oruba(away) | 1-2 | Professional League |
| Apr 9, 2016 | Al-Shabab(away) | 2-3 | Professional League |
| Apr 2, 2016 | Al-Nahda(home) | 3-0 | Professional League |
| Mar 11, 2016 | Al-Khabourah(away) | 1-2 | Professional League |
| Mar 3, 2016 | Al Nasr(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2016 | Al-Shabab(home) | 0-4 | Professional League |
| Apr 10, 2016 | Al-Nahda(away) | 0-2 | Professional League |
| Apr 3, 2016 | Al-Khabourah(home) | 0-4 | Professional League |
| Mar 11, 2016 | Al Nasr(away) | 1-2 | Professional League |
| Mar 4, 2016 | Fanja(home) | 3-2 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sohar win(s), 1 draw(s), 0 Salalah win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 26, 2015 | Salalah 0-0 Sohar | Professional League |
How many goals should we expect?
Sohar score 1.0 and concede 1.1 goals per match over their last 15; Salalah score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sohar | 1.0 | 1.1 | 6 | 7/15 | 8/15 |
| Salalah | 0.9 | 1.9 | 2 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Sohar | 26 | 10 | 8 | 8 | 35 | 28 | 38 |
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