Saham vs Sur: result 2-1 and analysis
Professional LeagueRegular Season - 14Kick-off on February 9, 2013 at 03:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Sur?
Saham won 2-1 on February 9, 2013.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Saham have 8 wins, 4 draws and 1 defeats; Sur have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2013 | Oman Club(away) | 1-0 | Professional League |
| Jan 25, 2013 | Al Seeb(home) | 3-0 | Professional League |
| Jan 21, 2013 | Al Shabab(away) | 0-0 | Professional League |
| Jan 14, 2013 | Al Nasr(home) | 3-0 | Professional League |
| Dec 21, 2012 | Al-Nahda(away) | 2-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2013 | Al Seeb(away) | 1-1 | Professional League |
| Jan 25, 2013 | Al Shabab(home) | 2-0 | Professional League |
| Jan 21, 2013 | Al Nasr(away) | 0-0 | Professional League |
| Jan 14, 2013 | Al-Nahda(home) | 2-2 | Professional League |
| Dec 21, 2012 | Al Oruba(away) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Saham win(s), 1 draw(s), 0 Sur win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2012 | Sur 0-0 Saham | Professional League |
How many goals should we expect?
Saham score 1.5 and concede 0.5 goals per match over their last 13; Sur score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.5 | 0.5 | 9 | 4/13 | 7/13 |
| Sur | 1.1 | 0.8 | 6 | 8/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Saham sit 11th in Professional League (26 points from 26 matches) and Sur sit 8th (32 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sur | 26 | 8 | 8 | 10 | 34 | 37 | 32 |
| 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