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The purpose of this study was to employ sensitive laboratory (lab-based) tools to determine predictive mechanisms that underlie increased KAM during landing.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Female basketball and soccer players (N=744) from a single county public school district were recruited to participate in testing of anthropometrics, maturation, laxity\/flexibility, strength and landing biomechanics. Linear regression was used to model KAM, and logistic regression was used to examine high (&gt;25.25 Nm of KAM) versus low KAM as surrogate for ACL injury risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The most parsimonious model included independent predictors (\u03b2\u00b11 SE) (1) peak knee abduction angle (1.78\u00b10.05; p&lt;0.001), (2) peak knee extensor moment (0.17\u00b10.01; p&lt;0.001), (3) knee flexion range of motion (0.15\u00b10.03; p&lt;0.01), (4) body mass index (BMI) Z-score (\u22121.67\u00b10.36; p&lt;0.001) and (5) tibia length (\u22120.50\u00b10.14; p&lt;0.001) and accounted for 78% of the variance in KAM during landing. The logistic regression model that employed these same variables predicted high KAM status with 85% sensitivity and 93% specificity and a C-statistic of 0.96.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Increased knee abduction angle, quadriceps recruitment, tibia length and BMI with decreased knee flexion account for 80% of the measured variance in KAM during a drop vertical jump.<\/jats:p><\/jats:sec><jats:sec><jats:title>Clinical relevance<\/jats:title><jats:p>Females who demonstrate increased KAM are more responsive and more likely to benefit from neuromuscular training. 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