Open AccessOn Using Real-Time and Post-Contest Data to Improve the Contest Organization, Technical/Scientific Procedures and Build an Efficient Contestant Preparation Strategy
Author(s) -
Jamaladdin Hasanov,
Habil Gadirli,
Aydin Bagiyev
Publication year - 2021
Publication title -
olympiads in informatics
Language(s) - English
Resource type - Journals
eISSN - 2335-8955
pISSN - 1822-7732
DOI - 10.15388/ioi.2021.03
Subject(s) - contest , competitor analysis , scope (computer science) , computer science , ranking (information retrieval) , process (computing) , quality (philosophy) , event (particle physics) , data science , strengths and weaknesses , relation (database) , process management , management science , artificial intelligence , data mining , marketing , engineering , business , psychology , political science , social psychology , philosophy , physics , epistemology , quantum mechanics , law , programming language , operating system
Nowadays, the coaches of various sports disciplines use analytical tools to processthe game data, analyze the behavior of their team, individual players, and build efficient strategies based on the strength and weaknesses of the competitors. Considering its global scope, time limitation, complexity of tasks, ranking, and medals, IOI can also be considered as an intellectual sports contest. With the direct relation to Information Technology and sports, the statistics of the IOI contests need to be analyzed to deliver better results, initate changes in the preparation strategy and increase the quality of the event as well. This paper provides a statistical analysis based on the last on-site IOI and shares insights on each of them.