Saudi-Arabia Pro League
King Khalid Sports City
NEOM
W W D L L W
VS
xG 1.78 - 0.89
Al-Faisaly FC
L W D L W L

Mathematical Predictions: NEOM vs Al-Faisaly FC

TOTAL GOALS
Under 2.5
Probability 50.18% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

NEOM team crest NEOM Past Prediction Accuracy

Historical prediction accuracy and match outcomes for NEOM
Date Fixture 1X2 O/U 2.5 FT
30 Oct 26 @ Al Diriyah X U2.5 1-2
24 Oct 26 vs Abha 1 O2.5 2-0
20 Oct 26 @ Al-Nassr 1 U2.5 1-0
17 Oct 26 vs Al-Ettifaq X U2.5 0-1
10 Oct 26 @ Al-Hazm X U2.5 1-1

Al-Faisaly FC team crest Al-Faisaly FC Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Al-Faisaly FC
Date Fixture 1X2 O/U 2.5 FT
31 Oct 26 @ Al-Fayha X O2.5 4-1
27 Oct 26 @ Abha X U2.5 0-1
23 Oct 26 vs Al-Nassr 2 O2.5 1-3
19 Oct 26 @ Al Shabab 1 O2.5 2-2
15 Oct 26 vs Al Kholood X U2.5 3-2

NEOM vs Al-Faisaly FC

H2H, Match Stats & Analysis
Saudi-Arabia Pro League
King Khalid Sports City
In their previous 1 head-to-head matches, NEOM scored an average of 2.00 goals per match, compared to Al-Faisaly FC 0.00 goals.
Over their last 10 matches, NEOM scored an average of 1.83 and conceded 1.00, whereas Al-Faisaly FC scored 1.17 and conceded 2.17.

What are the expected goals (xG) predicted in NEOM vs Al-Faisaly FC match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.78 for NEOM and 0.89 for Al-Faisaly FC. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 50.18%.

H2H - NEOM vs. Al-Faisaly FC

16 Jan 27
NEOM
-
(HT -)
Al-Faisaly FC
21 Aug 26
Al-Faisaly FC
0 - 2
(HT 0-0)
NEOM

Team Form (Last 6)

Home Crest NEOM

07 Sep @ Al-Hilal Saudi FC 0-2
W
13 Sep vs Al-Fateh 4-2
W
10 Oct @ Al-Hazm 1-1
D
17 Oct vs Al-Ettifaq 0-1
L
20 Oct @ Al-Nassr 1-0
L
24 Oct vs Abha 2-0
W

Away Crest Al-Faisaly FC

11 Sep vs Al-Ittihad FC 1-3
L
15 Oct vs Al Kholood 3-2
W
19 Oct @ Al Shabab 2-2
D
23 Oct vs Al-Nassr 1-3
L
27 Oct @ Abha 0-1
W
31 Oct @ Al-Fayha 4-1
L

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.