King Khalid Sports City
NEOM
W W D L L W
VS
xG 1.61 - 0.94
Al Taawon
L L L L L D

Mathematical Predictions: NEOM vs Al Taawon

TOTAL GOALS
Under 2.5
Probability 52.96% 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 Taawon team crest Al Taawon Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Al Taawon
Date Fixture 1X2 O/U 2.5 FT
31 Oct 26 vs Al-Ettifaq X U2.5 1-1
24 Oct 26 @ Al Riyadh X O2.5 2-1
20 Oct 26 vs Al-Qadisiyah FC X U2.5 0-1
17 Oct 26 @ Al Diriyah X U2.5 1-1
11 Oct 26 @ Al Shabab 2 O2.5 3-0

NEOM vs Al Taawon

H2H, Match Stats & Analysis
King Khalid Sports City
In their previous 2 head-to-head matches, NEOM scored an average of 1.50 goals per match, compared to Al Taawon 1.50 goals.
Over their last 10 matches, NEOM scored an average of 1.83 and conceded 1.00, whereas Al Taawon scored 0.83 and conceded 2.00.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.61 for NEOM and 0.94 for Al Taawon. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 52.96%.

H2H - NEOM vs. Al Taawon

12 Dec 26
NEOM
-
(HT -)
Al Taawon
12 Mar 26
NEOM
2 - 2
(HT 1-0)
Al Taawon
23 Nov 25
Al Taawon
1 - 1
(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 Taawon

08 Sep @ Al-Hazm 1-0
L
12 Sep vs Al-Hilal Saudi FC 0-6
L
11 Oct @ Al Shabab 3-0
L
20 Oct vs Al-Qadisiyah FC 0-1
L
24 Oct @ Al Riyadh 2-1
L
31 Oct vs Al-Ettifaq 1-1
D

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.