Al-Faisaly FC vs NEOM: result 3-2 and analysis
Division 1Matchday 15Kick-off on January 6, 2025 at 12:25 PM (UTC)Al Majma'ah Sports City Stadium, Al Majma'ah
Full time
What was the result of Al-Faisaly FC vs NEOM?
Al-Faisaly FC won 3-2 on January 6, 2025.
Goalscorers
- 39′?NEOM
- 45′A. BaAl-Faisaly FC
- 47′Mohammed MajrashiAl-Faisaly FC
- 90′M. DiagneNEOM (pen.)
- 90′MoratoAl-Faisaly FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Faisaly FC have 4 wins, 3 draws and 8 defeats; NEOM have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 18, 2024 | Al Baten(away) | 1-3 | Division 1 |
| Dec 9, 2024 | Jeddah Club(away) | 3-2 | Division 1 |
| Dec 2, 2024 | Al Jandal(home) | 0-0 | Division 1 |
| Nov 25, 2024 | Al Safa(home) | 1-2 | Division 1 |
| Nov 8, 2024 | Al Arabi SC(away) | 1-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2024 | Al Arabi SC(home) | 3-1 | Division 1 |
| Dec 4, 2024 | Al Bukayriyah(away) | 2-1 | Division 1 |
| Nov 26, 2024 | Al Baten(home) | 0-0 | Division 1 |
| Nov 5, 2024 | Al Jabalain(away) | 0-1 | Division 1 |
| Oct 28, 2024 | Ohod(home) | 1-0 | Division 1 |
How many goals should we expect?
Al-Faisaly FC score 1.0 and concede 1.3 goals per match over their last 15; NEOM score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Faisaly FC | 1.0 | 1.3 | 4 | 7/15 | 7/15 |
| NEOM | 1.9 | 0.7 | 6 | 7/15 | 7/15 |
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 |
A question about Al-Faisaly FC vs NEOM?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy