All posts by Tim Sevenhuysen

Tim Sevenhuysen is the founder and sole developer of Oracle's Elixir and provides a variety of consulting and contracting services throughout the esports industry. He is the former Director of Esports Analytics for 100 Thieves, served as Head of Data Science for Esports One, led Shadow.gg from 2017 to 2019, and was Statistical Consultant for Fnatic in 2015. Follow Tim on Twitter at @TimSevenhuysen.

Kill Efficiency: Stats Theory

Low-level League of Legends solo queue is all about kills: fight, fight, fight, and every now and then a building might fall, too, when there’s nothing fleshy around to attack.

But higher tiers of play, and especially esports, are all about objectives. Kills are a means to an end: sure, they reward you with a little gold and experience, but it’s far more important to leverage those kills into greater advantages, gaining greater control of the game.

“Kill Efficiency” is my attempt at measuring how well teams use their kills to gain those advantages. Continue reading Kill Efficiency: Stats Theory

Measuring the Margins: Gold Spent Percentage Difference

Do you ever feel like a team is better (or worse) than their win/loss record suggests? Do you wish you had a way to measure that impression?

Here’s a stat that might scratch your itch: I call it Gold Spent Percentage Difference (GSPD).

In simple terms, GSPD measures the gap in how much gold both teams have spent at the end of the game. A large positive GSPD  (+10% or higher) shows that the team had spent a lot more gold than their opponents, while a large negative GSPD (-10% or lower) shows that the team had spent a lot less gold.

Using average GSPD, we can spot the teams who are ranked higher or lower than their performances seem to warrant. Continue reading Measuring the Margins: Gold Spent Percentage Difference

New Champion Duo Statistics

Ever wondered which champion combinations are most successful in competitive play? The newest Oracle’s Elixir stats tables are here to help!

I’ve added five new pages with games played, win rate, and a few other numbers for champion combinations in related roles. These stats cover the 2015 Summer Split across the NA and EU LCS, LCK, and LMS. Hit the links to see the stats:

Top + Jungle duos
Top + Mid duos
Jungle + Support duos
Mid + ADC duos
ADC + Support duos

Note: LPL games are not included since the LPL does not release its match data. Only pairings played together at least three times this split are included.