About The Team

Alex Alifimoff
Alex Alifimoff

Alex graduated from Stanford with a master's degree in Computer Science, specializing in Articial Intelligence & Computer Systems. He spent the first years of his professional career building low-latency, highly-performant algorithmic trading systems.

Tomi Kovanen
Tomi Kovanen

Tomi is a Finnish former professional Counter-Strike player, who was previously the in-game leader of teams such as Evil Geniuses. During his career, his total prize money earnings made him one of the most successful players of his era. Since his playing career, Tomi has worked at J.P. Morgan as an Investment Banking Analyst, as well as in various roles within esports.

Christopher Sardegna
Christopher Sardegna

Christopher is a former iOS developer that currently works as a financial analyst and economist with a strong passion for actionable analytics. After working in the software-as-a-service and investment management industries, he has turned his focus to Counter-Strike.

Jerry Guo
Jerry Guo

Jerry Guo is a PhD candidate in organizational behavior & theory at the Tepper School of Business, Carnegie Mellon University. His research involves organizational routines, organizational learning, and knowledge transfer. Prior to joining Tepper, he worked at the Naval Postgraduate School, where he supported research sponsored by the Office of the Secretary of Defense. He studied economics and classics at Dartmouth College and holds master’s degrees from the Naval Postgraduate School and Carnegie Mellon University.

Mitchell Wesson
Mitchell Wesson

Mitchell graduated from the University of Alabama with a master’s degree in Applied Statistics. While he has worked professionally as a Statistical Analyst for Fortune 50 companies, his passion lies in developing metrics for Counter-Strike that advance the way the game is analyzed.

Tres Pittman
Tres Pittman

Tres graduated from Stanford University with a B.S. in Data Science in 2017 (IDMEN). Since then, he has been developing custom data integration and analysis tools for the auto industry, working with OEMs like Audi, Volkswagen and Toyota. His expertise lies in business automation and applied statistics. Some of his research interests include Markov processes, simulation and stochastic modeling in general.

Alex Kosla
Alex Kosla

Alex is currently pursuing his Bachelor's Degree in Computer Science at Marquette University. Before combining his keen interest in Data Science with his avid passion for Esports, Alex researched win-probability models in professional sports and represented Marquette University at the collegiate level in CS:GO.