Objectives To test the feasibility of an actuarial model for juvenile offending suitable for automatic scoring. Design We identified a nationally representative sample of 936 young persons aged 13–17 (745 male, 191 female) who received a juvenile justice intake in 2002 in New Zealand. Methods Best‐subsets logistic regression and a formal model selection criterion were used to generate a predictive model for reoffending, and a conservative estimate of accuracy was obtained with cross‐validation. Results Recidivism during a 1‐year follow‐up was significantly higher for male (60.8%) compared to female (46.6%) delinquents. The model showed that young persons who were male, younger at their first social welfare intake, and had more prior court dates and a greater frequency of contact with police, were more likely to re‐offend. The accuracy of the model was moderately high (area under the receiver operating characteristic curve = .710). A model developed specifically for the female cases failed to provide a significant increase in predictive accuracy. Conclusions These results demonstrate the feasibility of an actuarial model for juvenile offending that is suitable for automatic scoring. Although male delinquents pose a higher absolute risk of juvenile offending than female delinquents, a common set of items related to history of contact with police and social welfare agencies provide a similarly accurate measure of relative risk for both sexes.