Al Seeb vs Saham: result 1-1 and analysis
Professional LeagueRegular Season - 25Kick-off on May 12, 2013 at 03:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al Seeb vs Saham?
Al Seeb and Saham drew 1-1 on May 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Seeb have 7 wins, 2 draws and 6 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 |
|---|---|---|---|
| May 8, 2013 | Oman Club(away) | 2-1 | Professional League |
| Apr 26, 2013 | Al Shabab(away) | 1-2 | Professional League |
| Apr 20, 2013 | Al Nasr(home) | 1-3 | Professional League |
| Apr 12, 2013 | Al-Nahda(away) | 1-2 | Professional League |
| Mar 29, 2013 | Al Oruba(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2013 | Al Shabab(home) | 3-1 | Professional League |
| Apr 26, 2013 | Al Nasr(away) | 2-2 | Professional League |
| Apr 20, 2013 | Al-Nahda(home) | 0-2 | Professional League |
| Apr 12, 2013 | Al Oruba(away) | 1-2 | Professional League |
| Mar 29, 2013 | Al Suwaiq(home) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Seeb win(s), 0 draw(s), 1 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 25, 2013 | Saham 3-0 Al Seeb | Professional League |
How many goals should we expect?
Al Seeb score 1.2 and concede 1.1 goals per match over their last 15; Saham score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Seeb | 1.2 | 1.1 | 5 | 8/15 | 9/15 |
| Saham | 1.5 | 0.7 | 8 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al Seeb sit 1st in Professional League (67 points from 26 matches) and Saham sit 11th (26 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Seeb | 26 | 21 | 4 | 1 | 59 | 14 | 67 |
| 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