What are the expected goals (xG) predicted for this match?

Warri Wolves

(xG) 1.00 - 0.94

Nasarawa United

Mathematical Predictions: Warri Wolves vs Nasarawa United

TOTAL GOALS

Under 2.5

Probability 69.20% Pending

MATCH RESULT

Draw

Pending

Historical Prediction Track Records

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.

Nasarawa United Past Prediction Accuracy

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

Warri Wolves vs Nasarawa United

H2H, Match Stats & Analysis

Nigeria NPFL

2020-05-17T19:00:00

Warri Township Stadium

In their previous 3 head-to-head matches, Warri Wolves scored an average of 1.00 goals per match, compared to Nasarawa United 1.33 goals.

Over their last 10 matches, Warri Wolves scored an average of 1.17 and conceded 0.33, whereas Nasarawa United scored 0.50 and conceded 2.00.

What are the expected goals (xG) predicted in Warri Wolves vs Nasarawa United match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.00 for Warri Wolves and 0.94 for Nasarawa United. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 69.20%.

H2H - Warri Wolves vs. Nasarawa United

19 Apr 26

Nasarawa United

3 - 0

(HT 1-0)

Warri Wolves

30 Nov 25

Warri Wolves

1 - 0

(HT 1-0)

Nasarawa United

17 May 20

Warri Wolves

(HT -)

Nasarawa United

20 Jan 20

Nasarawa United

1 - 2

(HT -)

Warri Wolves

Team Form (Last 6)

Warri Wolves

05 Apr vs Rivers United 2-0

12 Apr @ Kun Khalifat FC 3-0

19 Apr @ Nasarawa United 3-0

03 May vs Plateau United 1-0

10 May @ Kano Pillars 1-0

24 May vs Abia Warriors 2-1

Nasarawa United

05 Apr vs Kun Khalifat FC 0-1

14 Apr @ El Kanemi Warriors 1-0

19 Apr vs Warri Wolves 3-0

03 May @ Shooting Stars 3-2

10 May vs Plateau United 1-0

24 May @ Barau FC 3-0

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.