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

Central African Republic

(xG) 0.50 - 1.83

Mauritania

Mathematical Predictions: Central African Republic vs Mauritania

TOTAL GOALS

Under 2.5

Probability 58.72% Pending

MATCH RESULT

Away Win

Pending

Historical Prediction Track Records

Central African Republic Past Prediction Accuracy

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

Mauritania Past Prediction Accuracy

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

Central African Republic vs Mauritania

H2H, Match Stats & Analysis

World Africa Cup of Nations - Qualification

2027-03-24T19:00:00

TBA

In their previous 2 head-to-head matches, Central African Republic scored an average of 1.00 goals per match, compared to Mauritania 2.50 goals.

Over their last 10 matches, Central African Republic scored an average of 0.00 and conceded 1.00, whereas Mauritania scored 1.00 and conceded 2.00.

What are the expected goals (xG) predicted in Central African Republic vs Mauritania match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 0.50 for Central African Republic and 1.83 for Mauritania. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 58.72%.

H2H - Central African Republic vs. Mauritania

24 Mar 27

Central African Republic

(HT -)

Mauritania

24 Sep 26

Mauritania

3 - 1

(HT 1-0)

Central African Republic

06 Jun 25

Mauritania

2 - 1

(HT 1-1)

Central African Republic

Team Form (Last 6)

Central African Republic

08 Oct vs Ghana 0-5

12 Oct @ Chad 2-3

05 Jun vs Togo 1-1

09 Jun @ Angola 3-0

24 Sep @ Mauritania 3-1

28 Sep vs Burkina Faso 0-1

Mauritania

15 Nov @ Libya 1-0

28 Mar @ Argentina 2-1

05 Jun @ Angola 1-1

08 Jun @ Niger 0-1

24 Sep vs Central African Republic 3-1

29 Sep @ Benin 2-1

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.