Evil Geniuses has just launched a stand-alone, free-to-use data and analytics platform: Factor.gg! This new platform will feature exclusive content created by analytics experts to dive into the numbers of your favourite League of Legends matches, players and teams!
What’s Factor.gg?
Designed to fill the current market gap for in-depth statistical dissection of esports data to boost performance, Factor.gg provides users with a deep analysis of League of Legends. With the exception of LPL, Factor.gg allows its users to analyze all kinds of data from professional (and amateur) leagues across the world.
It can be used to analyze teams and players’ performance, but also for recruiting undiscovered talent! Users can also be simple enthusiasts looking to break down the action of their favourite matchups. Factor.gg offers the ability to take a deeper dive into every professional match using data to engage with, watch, and talk about League of Legends.
Offering an intuitive analysis of complex datas, this free to use platform builds upon the simpler data solutions currently available, adding proprietary statistics and features to break down each microelement of professional play!
Why use it?
What does it take to be successful in League of Legends? How do we understand what are these factors? This is the objective of Factor.gg, to help its users understand the professional sphere of the game. In support of that, there are not only statistics of matches, teams and players, but also pre-match win probabilities, unique statistics, and analysis of live matches! The core stat developed by EG is POWR: an aggregate to those determinants statistics needed to win.
To put it simply, The higher the POWR index, the better a team or player is!
Although our industry is built on ones and zeroes, esports has lagged behind traditional sports in the areas of analytics and fan-focused platforms that provide engaging new stats, insights, and content. With Factor, we’re responding to an interest in advanced stats and esports analysis and driving a change in how this complex data is accessed and analyzed.
Chris DeAppolonio, Chief Innovation Officer at Evil Geniuses
