Fanja vs Saham: result 3-2 and analysis
Professional LeagueRegular Season - 18Kick-off on March 15, 2014 at 04:15 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Fanja vs Saham?
Fanja won 3-2 on March 15, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanja have 9 wins, 5 draws and 1 defeats; Saham have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2014 | Al Nasr(away) | 2-1 | Professional League |
| Feb 21, 2014 | Mjees(home) | 5-0 | Professional League |
| Feb 18, 2014 | Al Ittehad(away) | 1-0 | Professional League |
| Feb 11, 2014 | Al Shabab(home) | 1-1 | Professional League |
| Feb 5, 2014 | Sur(away) | 3-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2014 | Sur(home) | 1-2 | Professional League |
| Feb 22, 2014 | Dhofar(away) | 0-1 | Professional League |
| Feb 18, 2014 | Al Suwaiq(home) | 2-2 | Professional League |
| Feb 14, 2014 | Al Seeb(away) | 0-1 | Professional League |
| Feb 11, 2014 | Al Musannah(away) | 1-3 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 0 Fanja win(s), 1 draw(s), 2 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2013 | Saham 0-0 Fanja | Professional League |
| Feb 17, 2013 | Saham 5-0 Fanja | Professional League |
| Oct 23, 2012 | Fanja 1-2 Saham | Professional League |
How many goals should we expect?
Fanja score 1.6 and concede 0.7 goals per match over their last 15; Saham score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanja | 1.6 | 0.7 | 8 | 6/15 | 6/15 |
| Saham | 1.1 | 1.0 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
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