Search Results for author: Florian Block

Found 3 papers, 2 papers with code

Time to Die: Death Prediction in Dota 2 using Deep Learning

1 code implementation21 May 2019 Adam Katona, Ryan Spick, Victoria Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker

Even though death events are rare within a game (1\% of the data), the model achieves 0. 377 precision with 0. 725 recall on test data when prompted to predict which of any of the 10 players of either team will die within 5 seconds.

Dota 2

Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analytics

2 code implementations29 May 2023 Alan Pedrassoli Chitayat, Florian Block, James Walker, Anders Drachen

Therefore, the proposed methodology for representing characters can increase the life-spam of machine learning models as well as contribute to a higher performance when compared to traditional techniques typically employed within the literature.

Dota 2

Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games

no code implementations17 Nov 2017 Victoria Hodge, Sam Devlin, Nick Sephton, Florian Block, Anders Drachen, Peter Cowling

Given the comparatively limited supply of professional data, a key question is thus whether mixed-rank match datasets can be used to create data-driven models which predict winners in professional matches and provide a simple in-game statistic for viewers and broadcasters.

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