Al Ittehad vs Sohar: result 1-2 and analysis
Professional LeagueRegular Season - 22Kick-off on April 13, 2014 at 04:30 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Ittehad vs Sohar?
Sohar won 1-2 on April 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Ittehad have 1 win, 3 draws and 11 defeats; Sohar have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2014 | Al-Nahda(away) | 0-2 | Professional League |
| Mar 29, 2014 | Al Oruba(home) | 0-3 | Professional League |
| Mar 23, 2014 | Saham(away) | 1-1 | Professional League |
| Mar 15, 2014 | Al Nasr(home) | 0-2 | Professional League |
| Mar 7, 2014 | Mjees(away) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Fanja(home) | 1-0 | Professional League |
| Mar 29, 2014 | Sur(away) | 1-4 | Professional League |
| Mar 23, 2014 | Dhofar(home) | 1-0 | Professional League |
| Mar 15, 2014 | Al Suwaiq(away) | 0-1 | Professional League |
| Mar 8, 2014 | Al Musannah(home) | 2-0 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Al Ittehad wins, 1 draw, 0 Sohar wins.
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2013 | Sohar 1-1 Al Ittehad | Professional League |
How many goals should we expect?
Al Ittehad score 0.7 and concede 1.8 goals per match over their last 15; Sohar score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ittehad | 0.7 | 1.8 | 0 | 8/15 | 7/15 |
| Sohar | 1.2 | 1.3 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sohar | 4 | 1 | 2 | 1 | 2 | 4 | 5 |
A question about Al Ittehad vs Sohar?
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