Saham vs Al Taleea: result 0-2 and analysis
Professional LeagueRegular Season - 18Kick-off on March 1, 2013 at 03:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Al Taleea?
Al Taleea won 0-2 on March 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 9 wins, 5 draws and 1 defeat; Al Taleea have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2013 | Dhofar(away) | 0-0 | Professional League |
| Feb 17, 2013 | Fanja(home) | 5-0 | Professional League |
| Feb 13, 2013 | Salalah(away) | 0-0 | Professional League |
| Feb 9, 2013 | Sur(home) | 2-1 | Professional League |
| Feb 2, 2013 | Oman Club(away) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2013 | Al Seeb(home) | 1-2 | Professional League |
| Feb 17, 2013 | Al Shabab(away) | 1-2 | Professional League |
| Feb 13, 2013 | Al Nasr(home) | 1-2 | Professional League |
| Feb 9, 2013 | Al-Nahda(away) | 1-2 | Professional League |
| Feb 2, 2013 | Al Oruba(away) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Saham wins, 1 draw, 0 Al Taleea wins.
| Date | Score | Competition |
|---|---|---|
| Nov 17, 2012 | Al Taleea 0-0 Saham | Professional League |
How many goals should we expect?
Saham score 1.6 and concede 0.4 goals per match over their last 15; Al Taleea score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.6 | 0.4 | 11 | 4/15 | 8/15 |
| Al Taleea | 1.0 | 1.3 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Saham | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Saham vs Al Taleea?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy