Al Bashair vs Al Nasr: result 0-2 and analysis
Professional LeagueRegular Season - 21Kick-off on April 11, 2023 at 06:00 PM (UTC)Nizwa Sports Complex, Nizwa
Full time
What was the result of Al Bashair vs Al Nasr?
Al Nasr won 0-2 on April 11, 2023.
Goalscorers
- 35′?Al Nasr
- 86′?Al Nasr
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Bashair have 2 wins, 3 draws and 10 defeats; Al Nasr have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2023 | Al Oruba(away) | 1-2 | Professional League |
| Mar 19, 2023 | Al Suwaiq(home) | 1-1 | Professional League |
| Mar 10, 2023 | Sohar(away) | 1-2 | Professional League |
| Mar 3, 2023 | Oman Club(away) | 0-0 | Professional League |
| Feb 15, 2023 | Dhofar(home) | 0-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2023 | Al-Nahda(home) | 0-1 | Professional League |
| Mar 17, 2023 | Al-Rustaq(away) | 1-1 | Professional League |
| Mar 10, 2023 | Al Ittehad(home) | 1-2 | Professional League |
| Mar 2, 2023 | Al Musannah(away) | 0-0 | Professional League |
| Feb 15, 2023 | Al Suwaiq(home) | 0-2 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Bashair win(s), 1 draw(s), 0 Al Nasr win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2022 | Al Nasr 2-2 Al Bashair | Professional League |
How many goals should we expect?
Al Bashair score 0.9 and concede 1.5 goals per match over their last 15; Al Nasr score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Bashair | 0.9 | 1.5 | 2 | 9/15 | 9/15 |
| Al Nasr | 0.9 | 1.2 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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