Mjees vs Al-Nahda: result 1-2 and analysis
Professional LeagueRegular Season - 22Kick-off on April 12, 2014 at 01:50 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Mjees vs Al-Nahda?
Al-Nahda won 1-2 on April 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjees have 3 wins, 3 draws and 9 defeats; Al-Nahda have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Al Oruba(away) | 1-1 | Professional League |
| Mar 29, 2014 | Saham(home) | 0-3 | Professional League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2014 | Al Nasr(home) | 3-1 | Professional League |
| Apr 4, 2014 | Al Ittehad(home) | 2-0 | Professional League |
| Mar 29, 2014 | Fanja(away) | 3-1 | Professional League |
| Mar 22, 2014 | Sur(home) | 1-1 | Professional League |
| Mar 15, 2014 | Dhofar(away) | 2-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mjees win(s), 0 draw(s), 1 Al-Nahda win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2013 | Al-Nahda 6-0 Mjees | Professional League |
How many goals should we expect?
Mjees score 1.0 and concede 2.5 goals per match over their last 15; Al-Nahda score 2.3 and concede 0.7.
| 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 |
| Al-Nahda | 2.3 | 0.7 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 26 | 13 | 5 | 8 | 31 | 23 | 44 |
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