TBA
Al-Faisaly FC
L W D L W L
VS
xG 1.67 - 1.42
Al Riyadh
L D W D W L

Mathematical Predictions: Al-Faisaly FC vs Al Riyadh

TOTAL GOALS
Over 2.5
Probability 59.52% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

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

Al Riyadh team crest Al Riyadh Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Al Riyadh
Date Fixture 1X2 O/U 2.5 FT
29 Oct 26 vs Al-Qadisiyah FC 2 U2.5 0-6
24 Oct 26 vs Al Taawon X O2.5 2-1
20 Oct 26 @ Al Diriyah 1 U2.5 1-0
11 Oct 26 @ Al-Fayha 1 O2.5 1-1
13 Sep 26 vs Al Kholood X U2.5 2-0

Al-Faisaly FC vs Al Riyadh

H2H, Match Stats & Analysis
TBA
In their previous 0 head-to-head matches, Al-Faisaly FC scored an average of 0.00 goals per match, compared to Al Riyadh 0.00 goals.
Over their last 10 matches, Al-Faisaly FC scored an average of 1.00 and conceded 1.83, whereas Al Riyadh scored 1.00 and conceded 2.33.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.67 for Al-Faisaly FC and 1.42 for Al Riyadh. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 59.52%.

H2H - Al-Faisaly FC vs. Al Riyadh

02 Jan 27
Al-Faisaly FC
-
(HT -)
Al Riyadh

Team Form (Last 6)

Home 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

Away Crest Al Riyadh

04 Sep @ Al-Ahli Jeddah 5-0
L
07 Sep @ Al Khaleej Saihat 0-0
D
13 Sep vs Al Kholood 2-0
W
11 Oct @ Al-Fayha 1-1
D
24 Oct vs Al Taawon 2-1
W
29 Oct vs Al-Qadisiyah FC 0-6
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.