What does it really take to be a winner in DoTA or League of Legends?
These graphs from the data science team at Bayes reveal some pretty interesting findings.
Who would have guessed that inhibitors/barracks were so key to securing victory?
You can also see that Baron in League appears to be more valuable to the win than Roshan in DoTA.
In both cases, kills seem to be the strongest indicator of a potential victory.
Findings are based on more than 2000 recent professional matches from Dota2 and LoL.
Anything here that you found particularly surprising?
About the author
Dr. Darina Goldin is the Director Data Science at Bayes Esports. She started playing competitive Team Fortress 2 in grad school. While no longer competing, she is still an avid Esports fan. At Bayes, she has created numerous predictive models for Counter Strike, DotA2, and League of Legends. When not crunching numbers, you can find her at the gym training Brazillian Jiu Jitsu.