  We introduce the bivariate unit-log-symmetric model based on the bivariate
log-symmetric distribution (BLS) defined in [Vila et al., 2022, Bivariate
Log-symmetric Models: Theoretical Properties and Parameter Estimation.
Avaliable at arXiv:2211.13839] as a flexible family of bivariate distributions
over the unit square. We then study its mathematical properties such as
stochastic representations, quantiles, conditional distributions, independence
of the marginal distributions and moments. Maximum likelihood estimation method
is discussed and examined through Monte Carlo simulation. Finally, the proposed
model is used to analyze soccer data.
