Optimizing Team Assignments
Aug 1, 2010·
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1 min read
Christopher Teixeira
The teams in the Northern Virginia Senior Softball (NVSS) league are reorganized every year with the desire to make them as even as possible and promote social interactions. This project’s goals were to develop a methodology to produce team assignments for players such that the teams are equal in regards to player ability and other attributes. Multiple regression was employed to obtain offensive, defensive, and team metrics. An integer program (IP) model was developed where constraints were aligned with the goals of the NVSS league to solve the assignment problem. The IP model was linked to a team assignment tool which allows the user to select settings and parameters before running the model.
Authors
Christopher Teixeira
(he/him)
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability,
and operations research to solve complex organizational challenges. Throughout his career, he has partnered with
diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various
analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages,
leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers.
He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.