Al-Shabab vs Fanja: result 0-1 and analysis
Professional LeagueRegular Season - 19Kick-off on February 11, 2016 at 03:00 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Fanja?
Fanja won 0-1 on February 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Shabab have 4 wins, 6 draws and 5 defeats; Fanja have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2016 | Muscat(away) | 1-0 | Professional League |
| Jan 30, 2016 | Al Suwaiq(home) | 1-1 | Professional League |
| Jan 27, 2016 | Saham(away) | 1-1 | Professional League |
| Jan 23, 2016 | Al-Musannah(home) | 1-0 | Professional League |
| Jan 18, 2016 | Dhofar(away) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2016 | Al-Nahda(home) | 1-0 | Professional League |
| Jan 30, 2016 | Al-Khabourah(away) | 3-1 | Professional League |
| Jan 27, 2016 | Al Nasr(home) | 0-0 | Professional League |
| Jan 23, 2016 | Al Oruba(home) | 1-1 | Professional League |
| Jan 18, 2016 | Muscat(away) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al-Shabab win(s), 0 draw(s), 1 Fanja win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2015 | Fanja 3-1 Al-Shabab | Professional League |
How many goals should we expect?
Al-Shabab score 1.1 and concede 1.6 goals per match over their last 15; Fanja score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 1.1 | 1.6 | 4 | 10/15 | 8/15 |
| Fanja | 1.5 | 0.9 | 4 | 10/15 | 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 | 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