Recently, new body indices, including body adiposity (BAI), a body shape (ABSI), and body roundness (BRI) indices have been developed to estimate adiposity. The aim of this study was to compare percent fat mass (%FM) with novel indices in an elite athlete population.Using a cross-sectional design, %FM in 159 male and 50 female athletes using a four-component model was assessed. The %FM was compared with body mass index (BMI), BAI, ABSI, BRI, and with other %FM field methods (bioimpedance spectroscopy and skinfold prediction equation). These associations were determined using multilinear regression analysis, which resulted in predictive models of %FM in athletes. Cross-validation was performed using the prediction residual error sum of squares (PRESS) statistics method.Although higher associations than other indices were observed, BRI still presented low coefficients of determination (men: R 2 = 0.36; women: R 2 = 0.25) when comparing with other field methods (R 2 range, 0.33–0.75). Using BAI as the independent variable, the R 2 was 0.07 for men and 0.14 for women. ABSI did not result in a significant association with %FM in women (R 2 = 0.05) while in men a significant association was found (R 2 = 0.22). The BMI model resulted in a R 2 = 0.20 for men and R 2 = 0.22 for women. Waist circumference and the sum of skinfolds were the anthropometric variables with the highest association with adiposity. New alternatives were presented with higher coefficients of determination (PRESS R 2 ranged from 0.47 to 0.71).The newly developed body indices are limited in predicting %FM in elite athletes, particularly when compared with other commonly and readily available field methods like bioimpedance analysis or skinfold prediction models.