Fanja vs Al-Shabab: result 3-1 and analysis
Professional LeagueRegular Season - 6Kick-off on October 30, 2015 at 12:45 PM (UTC)Al-Seeb Stadium, Seeb
Full time
What was the result of Fanja vs Al-Shabab?
Fanja won 3-1 on October 30, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanja have 8 wins, 6 draws and 1 defeat; Al-Shabab have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2015 | Al-Nahda(away) | 1-1 | Professional League |
| Oct 17, 2015 | Al-Khabourah(home) | 1-1 | Professional League |
| Sep 21, 2015 | Al Nasr(away) | 0-0 | Professional League |
| Sep 18, 2015 | Al Oruba(away) | 0-0 | Professional League |
| Sep 13, 2015 | Muscat(home) | 3-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2015 | Muscat(home) | 2-2 | Professional League |
| Oct 18, 2015 | Al Suwaiq(away) | 1-3 | Professional League |
| Sep 21, 2015 | Saham(home) | 1-0 | Professional League |
| Sep 17, 2015 | Al-Musannah(away) | 0-2 | Professional League |
| Sep 14, 2015 | Dhofar(home) | 0-2 | Professional League |
How many goals should we expect?
Fanja score 1.4 and concede 0.7 goals per match over their last 15; Al-Shabab score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanja | 1.4 | 0.7 | 6 | 8/15 | 6/15 |
| Al-Shabab | 0.8 | 1.8 | 1 | 2/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Fanja sit 12th in Professional League (2 points from 4 matches) and Al-Shabab sit 5th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Al-Shabab | 3 | 2 | 0 | 1 | 7 | 5 | 6 |
| 12 | Fanja | 4 | 0 | 2 | 2 | 0 | 3 | 2 |
A question about Fanja vs Al-Shabab?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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