Najran vs Al Qaisoma: result 1-1 and analysis
Division 1Regular Season - 30Kick-off on May 1, 2023 at 04:05 PM (UTC)Prince Hathloul Bin Abdul Aziz Sport City Stadium, Najran
Full time
What was the result of Najran vs Al Qaisoma?
Najran and Al Qaisoma drew 1-1 on May 1, 2023.
Goalscorers
- 62′?Al Qaisoma
- 70′?Najran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Najran have 6 wins, 3 draws and 6 defeats; Al Qaisoma have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2023 | Al Orubah(away) | 0-1 | Division 1 |
| Apr 10, 2023 | Jeddah Club(home) | 1-0 | Division 1 |
| Mar 18, 2023 | Al Arabi SC(home) | 1-0 | Division 1 |
| Mar 13, 2023 | Al Shoalah(away) | 3-1 | Division 1 |
| Mar 7, 2023 | Al-Ahli Jeddah(home) | 0-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2023 | Al-Qadisiyah FC(home) | 0-1 | Division 1 |
| Apr 10, 2023 | Hajer(away) | 2-2 | Division 1 |
| Apr 3, 2023 | Al Orubah(home) | 1-4 | Division 1 |
| Mar 19, 2023 | Ohod(away) | 1-1 | Division 1 |
| Mar 14, 2023 | Al Sahel(away) | 2-1 | Division 1 |
What does the head-to-head say?
Across the last 6 meetings: 4 Najran win(s), 0 draw(s), 2 Al Qaisoma win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2022 | Al Qaisoma 2-1 Najran | Division 1 |
| Mar 12, 2019 | Al Qaisoma 1-2 Najran | Division 1 |
| Oct 23, 2018 | Najran 2-0 Al Qaisoma | Division 1 |
| Feb 21, 2018 | Al Qaisoma 0-3 Najran | Division 1 |
| Oct 25, 2017 | Najran 1-3 Al Qaisoma | Division 1 |
| Jan 28, 2017 | Najran 3-1 Al Qaisoma | Division 1 |
How many goals should we expect?
Najran score 0.9 and concede 1.3 goals per match over their last 15; Al Qaisoma score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Najran | 0.9 | 1.3 | 4 | 6/15 | 6/15 |
| Al Qaisoma | 0.9 | 1.7 | 2 | 9/15 | 7/15 |
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