Al Nasr vs Mrbat: result 1-0 and analysis
Professional LeagueRegular Season - 22Kick-off on May 14, 2018 at 02:05 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Nasr vs Mrbat?
Al Nasr won 1-0 on May 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 5 wins, 5 draws and 5 defeats; Mrbat have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2018 | Al Salam(away) | 0-0 | Professional League |
| May 6, 2018 | Muscat(home) | 1-1 | Professional League |
| May 2, 2018 | Al-Nahda(away) | 1-1 | Professional League |
| Apr 28, 2018 | Al Suwaiq(home) | 1-2 | Professional League |
| Apr 18, 2018 | Dhofar(away) | 3-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2018 | Al-Shabab(home) | 0-1 | Professional League |
| May 6, 2018 | Al-Mudhaibi(away) | 1-0 | Professional League |
| May 2, 2018 | Oman Club(home) | 0-1 | Professional League |
| Apr 28, 2018 | Saham(away) | 2-1 | Professional League |
| Apr 18, 2018 | Sohar(home) | 2-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Al Nasr win, 0 draws, 0 Mrbat wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2017 | Mrbat 0-1 Al Nasr | Professional League |
How many goals should we expect?
Al Nasr score 1.3 and concede 1.1 goals per match over their last 15; Mrbat score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 1.3 | 1.1 | 4 | 8/15 | 5/15 |
| Mrbat | 1.2 | 1.7 | 1 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Nasr | 3 | 3 | 0 | 0 | 6 | 1 | 9 |
A question about Al Nasr vs Mrbat?
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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