NEOM vs Al-Faisaly FC: result 4-1 and analysis
Division 1Regular Season - 32Kick-off on May 5, 2025 at 04:50 PM (UTC)King Khalid Sport City Stadium, Tabouk
Full time
What was the result of NEOM vs Al-Faisaly FC?
NEOM won 4-1 on May 5, 2025.
Goalscorers
- 43′Carlos JúniorNEOM
- 45′?NEOM
- 62′M. DiagneNEOM
- 85′M. DiagneNEOM
- 90′Abdulaziz MakinAl-Faisaly FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, NEOM have 13 wins, 2 draws and 0 defeats; Al-Faisaly FC have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2025 | Jeddah Club(away) | 6-0 | Division 1 |
| Apr 22, 2025 | Al Arabi SC(away) | 3-0 | Division 1 |
| Apr 16, 2025 | Al Bukayriyah(home) | 2-0 | Division 1 |
| Apr 8, 2025 | Al Baten(away) | 7-2 | Division 1 |
| Apr 3, 2025 | Al Taee(home) | 3-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2025 | Al Baten(home) | 1-2 | Division 1 |
| Apr 22, 2025 | Jeddah Club(home) | 1-1 | Division 1 |
| Apr 15, 2025 | Al Jandal(away) | 2-0 | Division 1 |
| Apr 10, 2025 | Al Safa(away) | 2-1 | Division 1 |
| Apr 4, 2025 | Al Arabi SC(home) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 NEOM win(s), 0 draw(s), 1 Al-Faisaly FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 6, 2025 | Al-Faisaly FC 3-2 NEOM | Division 1 |
How many goals should we expect?
NEOM score 2.6 and concede 0.5 goals per match over their last 15; Al-Faisaly FC score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NEOM | 2.6 | 0.5 | 9 | 6/15 | 7/15 |
| Al-Faisaly FC | 1.0 | 1.3 | 2 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Faisaly FC | 34 | 21 | 10 | 3 | 76 | 32 | 73 |
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