Recent years have seen an increased focus on school accountability in Ireland and calls for greater use to be made of student achievement data for monitoring student outcomes. In this paper, it is argued that existing data-sets in Ireland offer limited potential for the value-added modelling approaches used for accountability purposes in many other countries. Some reasons for this include: few longitudinal studies of student achievement, few population data-sets and limited data on student home background in the State examination data-sets. A cross-sectional contextualised attainment model (CAM) is presented using Junior Certificate data from 2009. While the model offers some potential for identifying schools performing significantly above or below average, its explanatory power is limited by the availability of appropriate student background data. It is proposed that the use of statistical models for the purposes of identifying high or low performing schools in Ireland would need to take account of findings from other countries regarding technical difficulties such as variable selection, missing data, and the need to avoid aggregated data. Other practical concerns discussed include the appropriateness of publishing league tables and the usefulness of such information for informing parental choice.