Al Nasr vs Fanja: result 2-0 and analysis
Sultan CupQuarter-finalsKick-off on January 20, 2022 at 01:25 PM (UTC)Al-Saada Stadium, Salalah
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What was the result of Al Nasr vs Fanja?
Al Nasr won 2-0 on January 20, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 7 wins, 5 draws and 3 defeats; Fanja have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2022 | Al Seeb(away) | 0-2 | Professional League |
| Jan 11, 2022 | Bahla(home) | 2-1 | Professional League |
| Jan 7, 2022 | Al Ittehad(home) | 0-0 | Professional League |
| Jan 3, 2022 | Sohar(away) | 0-0 | Professional League |
| Dec 30, 2021 | Al-Nahda(home) | 1-0 | Sultan Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 31, 2021 | Salalah(home) | 0-0 | Sultan Cup |
| Nov 19, 2021 | Al Ittehad(away) | 2-1 | Sultan Cup |
| Nov 1, 2020 | Sohar(away) | 2-1 | Professional League |
| Oct 28, 2020 | Al-Rustaq(home) | 3-1 | Professional League |
| Oct 23, 2020 | Al-Nahda(away) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 6 meetings: 3 Al Nasr win(s), 0 draw(s), 3 Fanja win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 8, 2020 | Fanja 3-1 Al Nasr | Professional League |
| Oct 18, 2019 | Al Nasr 3-2 Fanja | Professional League |
| May 23, 2018 | Al Nasr 1-2 Fanja | Professional League |
| Nov 3, 2017 | Fanja 1-0 Al Nasr | Professional League |
| Apr 7, 2017 | Fanja 0-2 Al Nasr | Professional League |
| Oct 18, 2016 | Al Nasr 2-0 Fanja | Professional League |
How many goals should we expect?
Al Nasr score 1.1 and concede 0.9 goals per match over their last 15; Fanja score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 1.1 | 0.9 | 6 | 7/15 | 6/15 |
| Fanja | 1.6 | 1.2 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
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