Author(s) :

Zilu Wang.

Volume/Issue :

Abstract :

This study investigates the determinants of global video game sales rankings by examining platform types, game genres, and regional market characteristics. Using a comprehensive dataset of 16,598 entries sourced from VGChartz via Kaggle, this research employs a hybrid methodological framework combining machine learning and traditional statistical approaches. Specifically, correlation analysis, multiple linear regression, binary logit regression, and binary probit modeling are utilized. The study aims to identify the significant predictors of video game sales performance across global markets and to understand the interactions among these predictors. Results show that platform and genre are consistently influential variables, with regional market sales playing a secondary but still impactful role. The findings offer valuable implications for developers, marketers, and stakeholders seeking data-driven strategies in the video game industry.