Salalah vs Al-Shabab: result 0-4 and analysis
Professional LeagueRegular Season - 25Kick-off on April 20, 2016 at 02:00 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Salalah vs Al-Shabab?
Al-Shabab won 0-4 on April 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salalah have 3 wins, 2 draws and 10 defeats; Al-Shabab have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Feb 20, 2016 | Muscat(away) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Sohar(home) | 3-2 | Professional League |
| Apr 3, 2016 | Al Oruba(away) | 0-3 | Professional League |
| Mar 12, 2016 | Al-Nahda(away) | 0-3 | Professional League |
| Mar 4, 2016 | Al-Khabourah(home) | 1-1 | Professional League |
| Feb 19, 2016 | Al Nasr(away) | 0-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Salalah win, 0 draws, 0 Al-Shabab wins.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2015 | Al-Shabab 2-3 Salalah | Professional League |
How many goals should we expect?
Salalah score 0.9 and concede 1.7 goals per match over their last 15; Al-Shabab score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salalah | 0.9 | 1.7 | 2 | 7/15 | 7/15 |
| Al-Shabab | 0.8 | 1.5 | 4 | 6/15 | 6/15 |
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 | Al-Shabab | 5 | 4 | 0 | 1 | 14 | 6 | 12 |
A question about Salalah vs Al-Shabab?
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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