This paper introduces a comprehensive mathematical model, the Construction Contractor Distribution to a Portfolio of Projects Problem (CCDPPP), addressing the critical issue of efficiently allocating contractors to a diverse range of construction projects. Leveraging historical performance data, prioritising stakeholder satisfaction, and incorporating key performance metrics, the CCDPPP offers a systematic and data-driven framework for decision-making. The model accommodates various critical parameters, including project scope, duration, and the concurrent requisites of distinct work packages, as well as contractors’ capabilities, classifications, and rankings. By optimising the allocation process, the CCDPPP aims to maximise project quality and operational efficiency, ultimately elevating stakeholder satisfaction. Our approach showcases significant improvements in adherence to project timelines (ATT) and performance satisfaction (PS) averages through rigorous experimentation and validation using a numerical sample derived from the New Zealand Infrastructure Commission’s project records. Specifically, the model achieved a 3.247% improvement in ATT and a 6.216% improvement in PS. These results underscore the model’s efficacy in aligning decisions with decision-makers’ priorities, offering a powerful decision-support tool for the dynamic construction industry. By bridging mathematical modelling techniques with practical industry standards, this research contributes a valuable tool for industry-level decision-making in New Zealand’s construction sector. The CCDPPP holds the potential to revolutionise contractor allocation processes, ultimately leading to increased project success rates, stakeholder satisfaction, and overall industry success.