The esports market has been growing exponentially has been growing exponentially with
much interest from industry and academia. Perhaps because of this growth, there is a lack of …

To design a successful Multiplayer Online Battle Arena (MOBA) game, the ratio of
snowballing and comeback occurrences to all matches played must be maintained at a …

This paper collated and analysed information regarding the abilities, gameplay and game
genre preferences perceived to be important by amateur gamers and whether these …

Many successful games rely heavily on data analytics to understand players and inform
design. Popular methodologies focus on machine learning and statistical analysis of …

The twenty-first century has been repeatedly proclaimed to be the century of data. The
increasing processing capabilities of computers and the proliferation of Internet-enabled …

Understanding how interaction unfolds over time is a key factor for understanding the
dynamics aspects of player behavior. Thus far, analysis of sequential patterns of player …

We propose a multitask, regression‐based approach for predicting future performances of
soccer players. The multitask approach allows us to simultaneously learn individual player …

There has been much work on player modeling using game behavioral data collected. Many
of the previous research projects that targeted this goal used aggregate game statistics as …

Identifying learners' problem-solving strategies from telemetry data is a critical task for
serious games. Traditional methods like sequence mining, text replays, and statistical …

In this work, I situate e-sports broadcasting within the larger sports media industrial complex,
discuss e-sportscasters, and investigate the economics behind the growing e-sports …