Enabling Real-Time Prediction of In-game Deaths through Telemetry in Counter-Strike: Global Offensive

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    Abstract

    Esports have evolved into a major form of entertainment, drawing
    hundreds of millions of viewers to its online competitive broadcasts.
    Using Esports telemetry data to predict the outcome of a match is
    a well-researched topic, but micropredictions of specific in-game
    events are explored only sparingly. How accurately can we predict
    specific in-game events within a limited time window, and how
    can these predictions be used in a live broadcast? This research
    aims at predicting in-game deaths using telemetry data in Counter-
    Strike: Global offensive (CS:GO). We establish a data processing
    pipeline to acquire and re-structure raw in-game data and propose
    a set 36 features which will ultimately be used to predict in-game
    deaths within a three second window. Three neural network models
    are compared, namely convolutional (CNN), recurrent (RNN) and
    long short-term memory (LSTM). Our results show that the LSTM
    network has the best predictive accuracy (F1 0.38) when prompted,
    for all 10 players of a competitive game of CS:GO. The predictions
    are most influenced by features related to a player’s average in-
    game death count, health points, enemies in range and equipment
    value. Our model enables real-time micropredictions of deaths in
    CS:GO, and may be leveraged by Esports commentators and game
    observers to direct their focus on critical in-game events during a
    live competitive broadcast.
    Original languageEnglish
    Pages1-11
    Number of pages11
    DOIs
    Publication statusPublished - 2022
    EventFDG22: 17th International Conference on the Foundations of Digital Games - Athens, Greece
    Duration: 5 Sept 20228 Sept 2022

    Conference

    ConferenceFDG22: 17th International Conference on the Foundations of Digital Games
    Country/TerritoryGreece
    CityAthens
    Period5/09/228/09/22

    Keywords

    • Esports Analytics
    • Result Prediction
    • Microprediction

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