Hadejia Township Stadium
Jigawa Golden Stars
L W L W L W
VS
xG 1.56 - 1.50
Katsina United
W L W L W L

Mathematical Predictions: Jigawa Golden Stars vs Katsina United

TOTAL GOALS
Over 2.5
Probability 58.91% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Jigawa Golden Stars team crest Jigawa Golden Stars Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Jigawa Golden Stars
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Katsina United team crest Katsina United Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Katsina United
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Jigawa Golden Stars vs Katsina United

H2H, Match Stats & Analysis
Hadejia Township Stadium
In their previous 1 head-to-head matches, Jigawa Golden Stars scored an average of 2.00 goals per match, compared to Katsina United 3.00 goals.
Over their last 10 matches, Jigawa Golden Stars scored an average of 1.50 and conceded 0.67, whereas Katsina United scored 0.17 and conceded 1.67.

What are the expected goals (xG) predicted in Jigawa Golden Stars vs Katsina United match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.56 for Jigawa Golden Stars and 1.50 for Katsina United. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 58.91%.

H2H - Jigawa Golden Stars vs. Katsina United

19 Apr 20
Jigawa Golden Stars
-
(HT -)
Katsina United
29 Dec 19
Katsina United
3 - 2
(HT -)
Jigawa Golden Stars

Team Form (Last 6)

Home Crest Jigawa Golden Stars

16 Feb @ Nasarawa United 1-0
L
23 Feb vs Wikki Tourist 2-1
W
01 Mar @ Plateau United 2-1
L
08 Mar vs Kwara United 2-1
W
15 Mar @ Kano Pillars 2-0
L
18 Mar vs Heartland 2-1
W

Away Crest Katsina United

05 Apr vs Niger Tornadoes 1-0
W
12 Apr @ Enyimba 3-0
L
19 Apr vs Bayelsa United 3-2
W
04 May @ Bendel Insurance 1-0
L
10 May vs Ikorodu City 4-1
W
24 May @ Rivers United 3-0
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.