Al-Nassr vs Abha: result 4-0 and analysis
Pro LeagueRegular Season - 9Kick-off on November 2, 2019 at 03:50 PM (UTC)Prince Faisal bin Fahd Stadium, Riyadh
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What was the result of Al-Nassr vs Abha?
Al-Nassr won 4-0 on November 2, 2019.
Goalscorers
- 8′A. Hamed AllahAl-Nassr
- 26′Yahia Al ShehriAl-Nassr
- 45′A. Hamed AllahAl-Nassr (pen.)
- 58′N. AmrabatAl-Nassr
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Nassr have 9 wins, 4 draws and 2 defeats; Abha have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Al-Hilal Saudi FC(away) | 2-1 | Pro League |
| Oct 19, 2019 | Al-Raed(away) | 2-0 | Pro League |
| Sep 27, 2019 | Al-Ahli Jeddah(away) | 0-0 | Pro League |
| Sep 20, 2019 | Al-Hazm(home) | 0-1 | Pro League |
| Sep 16, 2019 | Al Sadd(away) | 1-3 | AFC Champions League Elite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Al-Ittihad FC(away) | 2-1 | Pro League |
| Oct 20, 2019 | Al-Fayha(home) | 1-1 | Pro League |
| Oct 5, 2019 | Al Taawon(away) | 0-1 | Pro League |
| Sep 26, 2019 | Al-Ettifaq(home) | 1-0 | Pro League |
| Sep 20, 2019 | Al-Adalah(away) | 1-2 | Pro League |
How many goals should we expect?
Al-Nassr score 1.5 and concede 0.7 goals per match over their last 15; Abha score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Nassr | 1.5 | 0.7 | 7 | 7/15 | 7/15 |
| Abha | 1.6 | 1.5 | 2 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Nassr sit 1st in Pro League (6 points from 2 matches) and Abha sit 17th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al-Nassr | 2 | 2 | 0 | 0 | 7 | 0 | 6 |
| 17 | Abha | 2 | 0 | 0 | 2 | 1 | 6 | 0 |
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