Nigeria NPFL
Warri Township Stadium
Warri Wolves
W L L W L W
VS
xG 1.00 - 1.17
Jigawa Golden Stars
L W L W L W

Mathematical Predictions: Warri Wolves vs Jigawa Golden Stars

TOTAL GOALS
Under 2.5
Probability 63.17% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Warri Wolves team crest Warri Wolves Past Prediction Accuracy

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

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.

Warri Wolves vs Jigawa Golden Stars

H2H, Match Stats & Analysis
Nigeria NPFL
Warri Township Stadium
In their previous 1 head-to-head matches, Warri Wolves scored an average of 1.00 goals per match, compared to Jigawa Golden Stars 2.00 goals.
Over their last 10 matches, Warri Wolves scored an average of 1.17 and conceded 0.33, whereas Jigawa Golden Stars scored 0.33 and conceded 1.67.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.00 for Warri Wolves and 1.17 for Jigawa Golden Stars. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 63.17%.

H2H - Warri Wolves vs. Jigawa Golden Stars

29 Mar 20
Warri Wolves
-
(HT -)
Jigawa Golden Stars
15 Dec 19
Jigawa Golden Stars
2 - 1
(HT -)
Warri Wolves

Team Form (Last 6)

Home Crest Warri Wolves

05 Apr vs Rivers United 2-0
W
12 Apr @ Kun Khalifat FC 3-0
L
19 Apr @ Nasarawa United 3-0
L
03 May vs Plateau United 1-0
W
10 May @ Kano Pillars 1-0
L
24 May vs Abia Warriors 2-1
W

Away 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

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.