Al-Rustaq vs Saham: result 0-3 and analysis
Professional LeagueRegular Season - 23Kick-off on May 6, 2017 at 02:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Rustaq vs Saham?
Saham won 0-3 on May 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Rustaq have 2 wins, 4 draws and 9 defeats; Saham have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2017 | Al Nasr(away) | 0-2 | Professional League |
| Apr 22, 2017 | Dhofar(home) | 1-2 | Professional League |
| Apr 14, 2017 | Al Suwaiq(away) | 0-2 | Professional League |
| Apr 7, 2017 | Oman Club(home) | 1-5 | Professional League |
| Mar 19, 2017 | Muscat(away) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2017 | Al Nejmeh(home) | 3-1 | AFC Champions League Two |
| Apr 27, 2017 | Al-Khabourah(home) | 1-1 | Professional League |
| Apr 22, 2017 | Fanja(away) | 1-1 | Professional League |
| Apr 17, 2017 | Muharraq(away) | 0-1 | AFC Champions League Two |
| Apr 14, 2017 | Al Nasr(away) | 0-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Al-Rustaq wins, 1 draw, 0 Saham wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2016 | Saham 2-2 Al-Rustaq | Professional League |
How many goals should we expect?
Al-Rustaq score 1.3 and concede 2.0 goals per match over their last 15; Saham score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Rustaq | 1.3 | 2.0 | 1 | 11/15 | 11/15 |
| Saham | 1.3 | 1.7 | 1 | 12/15 | 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 | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Al-Rustaq 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