Mrbat vs Al Nasr: result 0-1 and analysis
Professional LeagueRegular Season - 12Kick-off on November 10, 2018 at 04:05 PM (UTC)
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What was the result of Mrbat vs Al Nasr?
Al Nasr won 0-1 on November 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 8 wins, 2 draws and 5 defeats; Al Nasr have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2018 | Al-Nahda(away) | 0-1 | Professional League |
| Oct 28, 2018 | Al-Shabab(home) | 2-1 | Professional League |
| Oct 23, 2018 | Al Suwaiq(away) | 1-1 | Professional League |
| Oct 19, 2018 | Sur(home) | 2-1 | Professional League |
| Oct 3, 2018 | Al-Rustaq(home) | 0-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2018 | Saham(home) | 2-1 | Professional League |
| Oct 27, 2018 | Sohar(away) | 0-1 | Professional League |
| Oct 23, 2018 | Dhofar(home) | 0-2 | Professional League |
| Oct 19, 2018 | Muscat(away) | 1-1 | Professional League |
| Oct 3, 2018 | Al Oruba(away) | 0-0 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mrbat win(s), 0 draw(s), 2 Al Nasr win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2018 | Al Nasr 1-0 Mrbat | Professional League |
| Oct 26, 2017 | Mrbat 0-1 Al Nasr | Professional League |
How many goals should we expect?
Mrbat score 1.5 and concede 1.3 goals per match over their last 15; Al Nasr score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 1.5 | 1.3 | 4 | 8/15 | 9/15 |
| Al Nasr | 1.3 | 1.2 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Al Nasr | 26 | 16 | 5 | 5 | 35 | 20 | 53 |
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