Nigeria NPFL
Pantami Township Stadium
Adamawa United
L W L L L L
VS
xG 1.11 - 1.50
Jigawa Golden Stars
L W L W L W

Mathematical Predictions: Adamawa United vs Jigawa Golden Stars

TOTAL GOALS
Under 2.5
Probability 51.56% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Adamawa United team crest Adamawa United Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Adamawa United
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.

Adamawa United vs Jigawa Golden Stars

H2H, Match Stats & Analysis
Nigeria NPFL
Pantami Township Stadium
In their previous 1 head-to-head matches, Adamawa United scored an average of 2.00 goals per match, compared to Jigawa Golden Stars 3.00 goals.
Over their last 10 matches, Adamawa United scored an average of 0.83 and conceded 0.83, whereas Jigawa Golden Stars scored 0.33 and conceded 1.67.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.11 for Adamawa United and 1.50 for Jigawa Golden Stars. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 51.56%.

H2H - Adamawa United vs. Jigawa Golden Stars

03 May 20
Adamawa United
-
(HT -)
Jigawa Golden Stars
12 Jan 20
Jigawa Golden Stars
3 - 2
(HT -)
Adamawa United

Team Form (Last 6)

Home Crest Adamawa United

16 Feb @ Heartland 5-0
L
23 Feb vs Ifeanyi Uba 2-1
W
01 Mar @ Enugu Rangers 2-0
L
10 Mar vs Warri Wolves 0-1
L
15 Mar @ Abia Warriors 2-1
L
18 Mar vs Enyimba 0-2
L

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.