Al-Rustaq vs Jaalan: result 1-2 and analysis
Professional LeagueRegular Season - 26Kick-off on May 19, 2017 at 02:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Rustaq vs Jaalan?
Jaalan won 1-2 on May 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Rustaq have 2 wins, 3 draws and 10 defeats; Jaalan have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2017 | Fanja(away) | 0-0 | Professional League |
| May 10, 2017 | Al-Khabourah(away) | 2-4 | Professional League |
| May 6, 2017 | Saham(home) | 0-3 | Professional League |
| Apr 27, 2017 | Al Nasr(away) | 0-2 | Professional League |
| Apr 22, 2017 | Dhofar(home) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2017 | Al-Khabourah(home) | 0-0 | Professional League |
| May 10, 2017 | Saham(away) | 3-5 | Professional League |
| May 6, 2017 | Al Nasr(home) | 3-3 | Professional League |
| Apr 28, 2017 | Dhofar(away) | 2-4 | Professional League |
| Apr 21, 2017 | Al Suwaiq(home) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al-Rustaq win(s), 0 draw(s), 1 Jaalan win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2016 | Jaalan 2-1 Al-Rustaq | Professional League |
How many goals should we expect?
Al-Rustaq score 1.1 and concede 2.1 goals per match over their last 15; Jaalan score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Rustaq | 1.1 | 2.1 | 2 | 10/15 | 11/15 |
| Jaalan | 1.0 | 1.7 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Al-Rustaq | 26 | 3 | 6 | 17 | 24 | 46 | 15 |
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