A comprehensive review of data envelopment analysis (DEA) in sports

D Sultana, QF Dar - Journal of Sports Economics & …, 2019 - dialnet.unirioja.es
El análisis envolvente de datos (DEA) es una técnica de programación matemática
determinista que evalúa el rendimiento y la evaluación comparativa de las unidades de …

Validation of the Australian football league player ratings

S McIntosh, S Kovalchik… - International Journal of …, 2018 - journals.sagepub.com
This study investigated the validity of the official Australian Football League Player Ratings
system. It also aimed to determine the extent to which the distribution of points across the 13 …

An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports

G Papageorgiou, V Sarlis, C Tjortjis - International Journal of Data …, 2024 - Springer
This study presents a novel approach for predicting NBA players' performance in Fantasy
Points (FP) by developing individualized models for 203 players, using advanced basketball …

Comparing subjective and objective evaluations of player performance in Australian Rules football

S McIntosh, S Kovalchik, S Robertson - PLoS one, 2019 - journals.plos.org
Player evaluation plays a fundamental role in the decision-making processes of professional
sporting organisations. In the Australian Football League, both subjective and objective …

Multifactorial benchmarking of longitudinal player performance in the Australian football league

S McIntosh, S Kovalchik, S Robertson - Frontiers in Psychology, 2019 - frontiersin.org
This study aimed to develop a model to objectively benchmark professional Australian Rules
football (AF) player performance based on age, experience, positional role and both draft …

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players' Value

CW Chang - Mathematics, 2022 - mdpi.com
This paper proposes a multicriteria decision-making model based on a three-layer virtual
internet of things (IoT) algorithm to automatically track and evaluate professional football …

[PDF][PDF] The benefits of advanced data analytics in basketball: Approach of managers and coaches of lithuanian basketball league teams

J Demenius, R Kreivytė - Baltic journal of sport and health sciences, 2017 - journals.lsu.lt
Background. Many industries use a variety of statistical models for a decision-making, but no
industry relies on analytical data as a professional sport (Davenport, 2014). Sports …

Comparing the performance of basketball players with decision trees and TOPSIS

E Cene, C Parim, B Özkan - International Journal of Data Science …, 2018 - dergipark.org.tr
In this study, individual game statistics for basketball players from Euroleague 2017-2018
season are analysed with Decision Trees and Technique for Order-Preference by Similarity …

Re-ranking regular seasons in the National Basketball Association's modern era: A replication and extension of Pradhan (2018)

S Pradhan, R Chachad - Journal of Statistics and Management …, 2021 - Taylor & Francis
The present study serves as a replication and extension of previous work by Pradhan
(2018), which effectively ranked the top-100 seasons in the National Basketball …

Effect of investment on financial and sports results

P Mijatovic, V Pavlović, L Milačić - Industrija, 2015 - aseestant.ceon.rs
This study investigated the correlation between investment, financial results and sport
results achieved and to evaluate the relative efficiency of Serbian football clubs. In this …