Salalah vs Fanja: result 3-2 and analysis
Professional LeagueRegular Season - 21Kick-off on March 4, 2016 at 04:15 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Salalah vs Fanja?
Salalah won 3-2 on March 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salalah have 2 wins, 2 draws and 11 defeats; Fanja have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Muscat(away) | 1-2 | Professional League |
| Feb 11, 2016 | Al Suwaiq(home) | 0-1 | Professional League |
| Feb 3, 2016 | Saham(away) | 1-3 | Professional League |
| Jan 31, 2016 | Al-Musannah(home) | 2-0 | Professional League |
| Jan 26, 2016 | Dhofar(away) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2016 | Sohar(home) | 1-0 | Professional League |
| Feb 11, 2016 | Al-Shabab(away) | 1-0 | Professional League |
| 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 |
What does the head-to-head say?
Across the last 5 meetings: 0 Salalah win(s), 2 draw(s), 3 Fanja win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2015 | Fanja 2-1 Salalah | Professional League |
| Mar 1, 2013 | Salalah 2-2 Fanja | Professional League |
| Nov 17, 2012 | Fanja 1-0 Salalah | Professional League |
| May 7, 2012 | Salalah 2-3 Fanja | Professional League |
| Jan 23, 2012 | Fanja 0-0 Salalah | Professional League |
How many goals should we expect?
Salalah score 0.7 and concede 1.4 goals per match over their last 15; Fanja score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salalah | 0.7 | 1.4 | 2 | 6/15 | 5/15 |
| Fanja | 1.5 | 0.8 | 6 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
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