Al Salam vs Saham: result 0-0 and analysis
Professional LeagueRegular Season - 17Kick-off on April 18, 2018 at 02:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Al Salam vs Saham?
Al Salam and Saham drew 0-0 on April 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Salam have 5 wins, 3 draws and 7 defeats; Saham have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Sohar(away) | 3-0 | Professional League |
| Feb 25, 2018 | Fanja(home) | 1-1 | Professional League |
| Feb 7, 2018 | Al Oruba(away) | 2-1 | Professional League |
| Nov 28, 2017 | Mrbat(away) | 1-2 | Professional League |
| Nov 24, 2017 | Dhofar(home) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Muscat(home) | 0-0 | Professional League |
| Feb 25, 2018 | Al-Nahda(away) | 2-2 | Professional League |
| Feb 7, 2018 | Al Suwaiq(home) | 2-3 | Professional League |
| Nov 28, 2017 | Al Nasr(home) | 0-2 | Professional League |
| Nov 24, 2017 | Al-Shabab(away) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Al Salam wins, 0 draws, 1 Saham win.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2017 | Saham 3-0 Al Salam | Professional League |
How many goals should we expect?
Al Salam score 1.0 and concede 1.4 goals per match over their last 15; Saham score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Salam | 1.0 | 1.4 | 4 | 6/15 | 9/15 |
| Saham | 1.5 | 1.5 | 3 | 10/15 | 9/15 |
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 | 5 | 3 | 0 | 2 | 5 | 5 | 9 |
A question about Al Salam vs Saham?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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