Al-Nahda vs Saham: result 0-1 and analysis
Professional LeagueRegular Season - 11Kick-off on December 18, 2013 at 02:30 PM (UTC)Al Nahdha Stadium, Al-Buraimi
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What was the result of Al-Nahda vs Saham?
Saham won 0-1 on December 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Nahda have 9 wins, 2 draws and 4 defeats; Saham have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2013 | Al Nasr(away) | 2-0 | Professional League |
| Nov 29, 2013 | Mjees(home) | 6-0 | Professional League |
| Nov 7, 2013 | Al Ittehad(away) | 2-0 | Professional League |
| Nov 3, 2013 | Fanja(home) | 0-1 | Professional League |
| Oct 26, 2013 | Sur(away) | 2-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2013 | Al Oruba(home) | 1-1 | Professional League |
| Nov 30, 2013 | Al Shabab(away) | 1-1 | Professional League |
| Nov 7, 2013 | Al Nasr(away) | 1-0 | Professional League |
| Nov 2, 2013 | Mjees(home) | 2-1 | Professional League |
| Oct 25, 2013 | Al Ittehad(away) | 3-1 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 1 Al-Nahda win(s), 1 draw(s), 0 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2013 | Saham 0-2 Al-Nahda | Professional League |
| Dec 21, 2012 | Al-Nahda 2-2 Saham | Professional League |
How many goals should we expect?
Al-Nahda score 1.9 and concede 0.7 goals per match over their last 15; Saham score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Nahda | 1.9 | 0.7 | 8 | 6/15 | 8/15 |
| Saham | 1.5 | 1.1 | 3 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Nahda sit 4th in Professional League (44 points from 26 matches) and Saham sit 11th (26 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 26 | 13 | 5 | 8 | 31 | 23 | 44 |
| 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