Mjees vs Saham: result 0-3 and analysis
Professional LeagueRegular Season - 20Kick-off on March 29, 2014 at 03:15 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Mjees vs Saham?
Saham won 0-3 on March 29, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjees have 3 wins, 2 draws and 10 defeats; Saham have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2014 | Al Nasr(away) | 2-1 | Professional League |
| Mar 14, 2014 | Al Shabab(home) | 3-3 | Professional League |
| Mar 7, 2014 | Al Ittehad(home) | 2-1 | Professional League |
| Mar 1, 2014 | Al Suwaiq(home) | 1-3 | Professional League |
| Feb 21, 2014 | Fanja(away) | 0-5 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2014 | Al Ittehad(home) | 1-1 | Professional League |
| Mar 15, 2014 | Fanja(away) | 2-3 | Professional League |
| Mar 8, 2014 | Sur(home) | 1-2 | Professional League |
| Feb 22, 2014 | Dhofar(away) | 0-1 | Professional League |
| Feb 18, 2014 | Al Suwaiq(home) | 2-2 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Mjees wins, 0 draws, 1 Saham win.
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2013 | Saham 2-1 Mjees | Professional League |
How many goals should we expect?
Mjees score 1.0 and concede 2.5 goals per match over their last 15; Saham score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjees | 1.0 | 2.5 | 0 | 10/15 | 12/15 |
| Saham | 1.1 | 1.1 | 4 | 9/15 | 6/15 |
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 Mjees vs Saham?
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