PURPOSE: The present study aimed to compare the incidence of “jumper’s knee” injuries among athletes in basketball, volleyball, and football; to understand the causality and effect of the participation period and the incidence of jumper’s knee; to ascertain the link between history of injury and the incidence of jumper’s knee; and to determine the relationship between the type of tournament and the probability of jumper’s knee injury occurring.METHODS: This analytic, observational, cross-sectional study included subjects from high schools and clubs in Bandung, Solo, and Jogja, with a sample of approximately 30 participants representing each sport selected using a purposive sampling method (N = 93). Analytic observational using a cross sectional study approach in high schools and clubs in Bandung, Solo, and Jogja with a total sample of 30 for each sport selected by the purposive sampling method and obtained a total of 93 respondents. Dependent variable in this study is the jumper’s knee diagnosis. Statistical test data analysis used is different profiles using chi-square test effect of type of injury using binary regression relationship between participation period with jumper’s knee using Kendall's tau_b, the effect of playing time using binary regression and the relationship between the type of tournament and jumper’s knee using Kendall's tau_b. Statistical analysis of the dependent variable risk/indication for jumper’s knee used different methods. The chi-squared test was used to analyze the effect of type of injury using a binary regression method (Kendall's tau_b) to determine the relationship between participation period and jumper’s knee; and binary regression was used to assess the effect of playing time and the relationship between the type of tournament and jumper’s knee.RESULTS: Chi-squared analysis yielded an asymptotic significance value of p = .079, indicating no significant difference in the incidence of knee injuries among basketball, volleyball, and football athletes. Jumper's knee had positive percentage values of 38%, 34.6%, and 26.9% in basketball, volleyball, and football, respectively. Statistical tests examining the association between injury history and the incidence of jumper’s knee yielded a value of p = .00 with exp (b) = 0.075, which suggests an influence between ankle injury and jumper’s knee among the highest-risk athletes.CONCLUSIONS: Basketball, volleyball, and football players sustained jumper’s knee injuries at similar rates.