Nigeria NPFL
Hadejia Township Stadium
Jigawa Golden Stars
L W L W L W
VS
xG 1.22 - 1.00
Abia Warriors
W L W L L L

Mathematical Predictions: Jigawa Golden Stars vs Abia Warriors

TOTAL GOALS
Under 2.5
Probability 61.68% 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.

Abia Warriors team crest Abia Warriors Past Prediction Accuracy

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

Jigawa Golden Stars vs Abia Warriors

H2H, Match Stats & Analysis
Nigeria NPFL
Hadejia Township Stadium
In their previous 1 head-to-head matches, Jigawa Golden Stars scored an average of 1.00 goals per match, compared to Abia Warriors 2.00 goals.
Over their last 10 matches, Jigawa Golden Stars scored an average of 1.50 and conceded 0.67, whereas Abia Warriors scored 0.33 and conceded 2.00.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.22 for Jigawa Golden Stars and 1.00 for Abia Warriors. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 61.68%.

H2H - Jigawa Golden Stars vs. Abia Warriors

05 Apr 20
Jigawa Golden Stars
-
(HT -)
Abia Warriors
18 Dec 19
Abia Warriors
2 - 1
(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 Abia Warriors

06 Apr vs Bayelsa United 1-0
W
11 Apr @ Bendel Insurance 1-0
L
19 Apr vs Ikorodu City 2-1
W
03 May @ Rivers United 3-0
L
10 May vs Kun Khalifat FC 0-2
L
24 May @ Warri Wolves 2-1
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.