Al-Shabab vs Al Salam: result 1-2 and analysis
Professional LeagueRegular Season - 20Kick-off on May 6, 2018 at 04:55 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Al Salam?
Al Salam won 1-2 on May 6, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Shabab have 9 wins, 4 draws and 2 defeats; Al Salam have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | Muscat(away) | 1-1 | Professional League |
| Apr 28, 2018 | Al-Nahda(home) | 1-1 | Professional League |
| Apr 18, 2018 | Al Suwaiq(away) | 1-3 | Professional League |
| Apr 14, 2018 | Al Nasr(away) | 1-1 | Professional League |
| Mar 9, 2018 | Dhofar(home) | 2-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | Al-Mudhaibi(home) | 0-1 | Professional League |
| Apr 28, 2018 | Oman Club(away) | 2-1 | Professional League |
| Apr 18, 2018 | Saham(home) | 0-0 | Professional League |
| Apr 14, 2018 | Sohar(away) | 3-0 | Professional League |
| Feb 25, 2018 | Fanja(home) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 1 Al-Shabab win(s), 0 draw(s), 0 Al Salam win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2017 | Al Salam 0-1 Al-Shabab | Professional League |
Last archived meeting: Al Salam vs Al-Shabab on Oct 18, 2017
How many goals should we expect?
Al-Shabab score 1.5 and concede 0.9 goals per match over their last 15; Al Salam score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 1.5 | 0.9 | 6 | 9/15 | 5/15 |
| Al Salam | 0.9 | 1.1 | 5 | 5/15 | 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 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
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