Hilal Al-Quds vs Al Nasr: result 2-1 and analysis
AFC Champions League TwoPlay-off RoundKick-off on February 5, 2019 at 03:00 PM (UTC)Faisal Al-Husseini International Stadium, Al-Ram
Full time
What was the result of Hilal Al-Quds vs Al Nasr?
Hilal Al-Quds won 2-1 on February 5, 2019.
Goalscorers
- 51′Oday DabbaghHilal Al-Quds
- 54′Mousa Basheer Mousa FarawiHilal Al-Quds
- 64′164192Al Nasr
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hilal Al-Quds have 10 wins, 2 draws and 3 defeats; Al Nasr have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Jabal Al Mukaber(home) | 2-0 | West Bank Premier League |
| Nov 27, 2018 | Shabab Al Am'ari(home) | 1-2 | West Bank Premier League |
| Nov 24, 2018 | Thaqafi Tulkarem(away) | 1-1 | West Bank Premier League |
| Nov 8, 2018 | Al-Birah Institution(home) | 5-1 | West Bank Premier League |
| Nov 3, 2018 | Markez Balata(away) | 1-2 | West Bank Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2018 | Oman Club(home) | 3-1 | Professional League |
| Nov 10, 2018 | Mrbat(away) | 1-0 | Professional League |
| 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 |
How many goals should we expect?
Hilal Al-Quds score 2.5 and concede 1.1 goals per match over their last 15; Al Nasr score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hilal Al-Quds | 2.5 | 1.1 | 3 | 11/15 | 9/15 |
| Al Nasr | 1.5 | 1.1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Hilal Al-Quds | 2 | 0 | 0 | 2 | 1 | 3 | 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