Nigeria NPFL
Sani Abacha Stadium
Jigawa Golden Stars
L W L W L W
VS
xG 0.89 - 1.06
Enugu Rangers
D D W W W W

Mathematical Predictions: Jigawa Golden Stars vs Enugu Rangers

TOTAL GOALS
Under 2.5
Probability 69.17% 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.

Enugu Rangers team crest Enugu Rangers Past Prediction Accuracy

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

Jigawa Golden Stars vs Enugu Rangers

H2H, Match Stats & Analysis
Nigeria NPFL
Sani Abacha Stadium
In their previous 1 head-to-head matches, Jigawa Golden Stars scored an average of 0.00 goals per match, compared to Enugu Rangers 1.00 goals.
Over their last 10 matches, Jigawa Golden Stars scored an average of 1.50 and conceded 0.67, whereas Enugu Rangers scored 0.83 and conceded 0.67.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 0.89 for Jigawa Golden Stars and 1.06 for Enugu Rangers. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 69.17%.

H2H - Jigawa Golden Stars vs. Enugu Rangers

25 Mar 20
Jigawa Golden Stars
-
(HT -)
Enugu Rangers
12 Feb 20
Enugu Rangers
1 - 0
(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 Enugu Rangers

05 Apr vs Barau FC 0-0
D
12 Apr @ Niger Tornadoes 0-0
D
19 Apr vs Enyimba 2-1
W
03 May @ Bayelsa United 0-2
W
10 May vs Bendel Insurance 2-1
W
24 May @ Ikorodu City 1-2
W

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.