Player Performance Evaluation in Team-Based First-Person Shooter eSport

Bednárek, David; Kruliš, Martin; Yaghob, Jakub; Zavoral, Filip

doi:10.1007/978-3-319-94809-6_8

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Research on player performance in esports is largely concerned with analyzing player and team performance from game recordings [20], and building predictive models from player/team gameplay data [21], [22].…”

Section: F Player Performancementioning

confidence: 99%

Joy-Pros: A Gaming Prosthesis to Enable Para-Esports for Persons With Upper Limb Deficiencies

et al. 2022

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We present an investigation on game controller technology to enable para-esports. First, we present a review of the related literature on the information capacity of the human motor systems in pointing tasks and the evaluation of gaming controllers as pointing devices. Then we propose design criteria for controllers to enables para-esports in terms of target users, controller throughput, cognitive load, and comfort. Finally, we introduce the proposed controller with its rationale and functionality. We argue that the proposed controller is suitable to enable para-esports for persons with upper limb deficiencies because it enables bimanual control of video games like conventional controllers, and due to the achievable throughput and control dimensionality. The conducted experiments address the performance of the developed controller in terms of throughput and latency, and a qualitative evaluation with healthy users using the controller for the first time and with a pilot tester with upper limb deficiency. We conclude that similar to para-sports, paraesports will have to be organized in classes that consider the game type and the type of physical disability of the athletes, and each class will require a controller suitable for its content and participants.INDEX TERMS Para-esports, Prosthetics, Human augmentation.

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Section: F Player Performancementioning

confidence: 99%

Joy-Pros: A Gaming Prosthesis to Enable Para-Esports for Persons With Upper Limb Deficiencies

et al. 2022

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“…Largely, the existing CSGO literature revolves around player evaluation and predicting in game events. Bednarek et al [4] clustered death locations to create player ratings from their kills. Makarov et al [14] use an ensemble approach to predict which side wins the round in a post-plant scenario.…”

Section: Related Workmentioning

confidence: 99%

ggViz: Accelerating Large-Scale Esports Game Analysis

Xenopoulos¹,

Rulff²,

Silva³

2021

Preprint

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“…For Counter-Strike: Global Offensive (CSGO), Makarov et al [15] presented an ensemble approach using TrueSkill, decision trees and logistic regression to pre-dict round winners. We see another CSGO player valuation framework in Bednarek et al [16] which utilized the spatial information to cluster death locations to create player ratings. Specifically, they argue that encounters vary in importance by location and cluster deaths using k-means to create death heatmaps.…”

Section: Related Workmentioning

confidence: 99%

Valuing Player Actions in Counter-Strike: Global Offensive

Xenopoulos¹,

Doraiswamy²,

Silva³

2020

Preprint

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Esports, despite its expanding interest, lacks fundamental sports analytics resources such as accessible data or proven and reproducible analytical frameworks. Even Counter-Strike: Global Offensive (CSGO), the second most popular esport, suffers from these problems. Thus, quantitative evaluation of CSGO players, a task important to teams, media, bettors and fans, is difficult. To address this, we introduce (1) a data model for CSGO with an open-source implementation; (2) a graph distance measure for defining distances in CSGO; and(3) a context-aware framework to value players' actions based on changes in their team's chances of winning. Using over 70 million in-game CSGO events, we demonstrate our framework's consistency and independence compared to existing valuation frameworks. We also provide use cases demonstrating highimpact play identification and uncertainty estimation.

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Player Performance Evaluation in Team-Based First-Person Shooter eSport

Cited by 6 publications

References 6 publications

Joy-Pros: A Gaming Prosthesis to Enable Para-Esports for Persons With Upper Limb Deficiencies

Joy-Pros: A Gaming Prosthesis to Enable Para-Esports for Persons With Upper Limb Deficiencies

ggViz: Accelerating Large-Scale Esports Game Analysis

Valuing Player Actions in Counter-Strike: Global Offensive

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