King Khalid Sports City
NEOM
W W D L L W
VS
xG 1.78 - 1.56
Al Kholood
W L L L L L

Mathematical Predictions: NEOM vs Al Kholood

TOTAL GOALS
Over 2.5
Probability 64.72% Pending
MATCH RESULT
Draw
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 Kholood team crest Al Kholood Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Al Kholood
Date Fixture 1X2 O/U 2.5 FT
29 Oct 26 @ Al-Nassr 1 O2.5 5-3
24 Oct 26 vs Al-Ettifaq 2 O2.5 0-3
15 Oct 26 @ Al-Faisaly FC X U2.5 3-2
09 Oct 26 vs Al-Qadisiyah FC 2 O2.5 0-5
13 Sep 26 @ Al Riyadh X U2.5 2-0

NEOM vs Al Kholood

H2H, Match Stats & Analysis
King Khalid Sports City
In their previous 2 head-to-head matches, NEOM scored an average of 2.00 goals per match, compared to Al Kholood 2.00 goals.
Over their last 10 matches, NEOM scored an average of 1.83 and conceded 1.00, whereas Al Kholood scored 1.50 and conceded 2.33.

What are the expected goals (xG) predicted in NEOM vs Al Kholood match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.78 for NEOM and 1.56 for Al Kholood. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 64.72%.

H2H - NEOM vs. Al Kholood

04 Dec 26
NEOM
-
(HT -)
Al Kholood
28 Feb 26
NEOM
1 - 2
(HT 1-2)
Al Kholood
30 Oct 25
Al Kholood
2 - 3
(HT 1-2)
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 Kholood

09 Sep vs Al Shabab 2-1
W
13 Sep @ Al Riyadh 2-0
L
09 Oct vs Al-Qadisiyah FC 0-5
L
15 Oct @ Al-Faisaly FC 3-2
L
24 Oct vs Al-Ettifaq 0-3
L
29 Oct @ Al-Nassr 5-3
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.