Al Qaisoma vs Najran: result 2-1 and analysis
Division 1Regular Season - 13Kick-off on December 19, 2022 at 12:05 PM (UTC)Al-Batin FC Stadium, Hafar Al-Batin
Full time
What was the result of Al Qaisoma vs Najran?
Al Qaisoma won 2-1 on December 19, 2022.
Goalscorers
- 22′?Najran
- 69′?Al Qaisoma
- 74′?Al Qaisoma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Qaisoma have 4 wins, 8 draws and 3 defeats; Najran 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 |
|---|---|---|---|
| Nov 14, 2022 | Al-Qadisiyah FC(away) | 0-1 | Division 1 |
| Nov 9, 2022 | Hajer(home) | 2-2 | Division 1 |
| Oct 31, 2022 | Al Orubah(away) | 1-1 | Division 1 |
| Oct 25, 2022 | Ohod(home) | 2-0 | Division 1 |
| Oct 18, 2022 | Al Sahel(home) | 0-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2022 | Al Orubah(home) | 2-1 | Division 1 |
| Nov 8, 2022 | Jeddah Club(away) | 0-2 | Division 1 |
| Nov 2, 2022 | Al-Faisaly FC(home) | 0-1 | Division 1 |
| Oct 26, 2022 | Al Arabi SC(away) | 1-2 | Division 1 |
| Oct 19, 2022 | Al Shoalah(home) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 6 meetings: 2 Al Qaisoma win(s), 0 draw(s), 4 Najran win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Sep 18, 2016 | Al Qaisoma 2-1 Najran | Division 1 |
How many goals should we expect?
Al Qaisoma score 1.2 and concede 1.0 goals per match over their last 15; Najran score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Qaisoma | 1.2 | 1.0 | 4 | 9/15 | 5/15 |
| Najran | 0.9 | 1.4 | 4 | 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