Full metadata
Title
Developing a Model to Predict Match Outcomes in League of Legends
Description
League of Legends is a popular multiplayer online battle arena (MOBA) developed by Riot Games. Each team consists of 5 players who each control a single character (champion) which they select at the beginning of each game. In order to win the match, a team has to destroy the Nexus (the central structure) in the opponent's base. League of Legends has grown rapidly since its release in 2009 and has over 70 million registered players. Several community websites have been created that track the performance of players and show detailed statistics for just about every aspect of the game. This project focuses on exploring the applicability of predictive analytics within League of Legends, by predicting the outcome of any given ranked match at the start of the game. It resulted in a model with accuracy of 58% using decision trees. An additional contribution of the project is a solution to a data collection anomaly that has biased previous studies.
Date Created
2015-12
Contributors
- Neumann, Alexander (Author)
- Clark, Joseph (Thesis director)
- Simon, Alan (Committee member)
- Department of Information Systems (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
19 pages
Language
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2015-2016
Handle
https://hdl.handle.net/2286/R.I.35623
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 2 years 8 months ago
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