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3267. TOPSIS++: A New Approach for Player Recruitment and Selection in Team Sports
Invited abstract in session TD-16: Performance and scouting in football, stream OR in Sports.
Tuesday, 14:30-16:00Room: 19 (building: 116)
Authors (first author is the speaker)
1. | Mark Connor
|
Abstract
Player recruitment and selection is one of the most important factors in determining the success of a team. The recruitment process is a complex task that involves considering various factors (form, fitness, etc) whilst being constrained by the team's budget and the availability of players in the market. The recruitment process is further complicated by the fact that the performance level of a player is not static and can change over time. Therefore, it is important to consider both the players current form and the player's future form in recruitment and selection decisions. In this paper, we propose a new approach for player selection and recruitment in team sports. TOPSIS++ is an extension of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method that is widely used in decision-making problems. TOPSIS++ is designed to address the limitations of the original TOPSIS method by considering not just a player’s current form but also their previous and future predicted form. We demonstrate the effectiveness of TOPSIS++ by applying it to the problem of player selection and recruitment in football. We compare the performance of TOPSIS++ with the original TOPSIS method and show that TOPSIS++ performs better in terms of identifying the best player to recruit when evaluated against the actual performance of the players in proceeding seasons. Our results show that TOPSIS++ is a promising approach for player selection and recruitment in team sports.
Keywords
- OR in Sports
- Multi-Objective Decision Making
- Decision Analysis
Status: accepted
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