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Win Bias and Damage Per Minute
In response to a Reddit post yesterday which listed the top Damage per Minute numbers from the NA/EU playoffs, one Redditor made this comment: “This data is very skewed because CLG only won and never...
View ArticleSweeping Lens: Kill Participation
Join Tim “Mag1c” Sevenhuysen in a discussion of the “Kill Participation” statistic and the context around how to interpret and apply it properly. The post Sweeping Lens: Kill Participation appeared...
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Mid/Late-Game Performances: Win Rates From Ahead, Even, and Behind
Note: Scroll down to the data if you want to skip the introductory theory talk! A team’s early-game performance is relatively easy to measure. We have a wide variety of metrics, like gold different at...
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EGR and MLR: New Team Ratings
Today I’m launching a pair of new statistics that measure teams’ performances in the “early game” and the “mid/late game”. These stats use complex modeling to assign an “early-game rating” (EGR) and a...
View ArticleSweeping Lens: Why KDA Ratio is a bad stat, and why we use it anyways
Read about Jesse Albert’s “Kill Shares” concept. Watch the Sweeping Lens for Kill Participation. The post Sweeping Lens: Why KDA Ratio is a bad stat, and why we use it anyways appeared first on...
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Jungler slash lines improve measurement of early-game effectiveness
TL;DR Because of changes to the jungle as part of Season 7, I am proposing a new way of measuring junglers’ early-game effectiveness. Key Findings Changes to the jungle for the 2017 season have created...
View ArticleIntroducing “Lane Efficiency”
Lane efficiency is a new statistic that measures how well teams manage minion waves throughout the game, both in terms of maximizing their own farming and preventing their opponents from farming. It is...
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Are Mountain Drakes Overrated? Statistical analysis of the value and priority...
Ever since Riot introduced the concept of randomly-spawning elemental drakes, there has been consistent debate around the relative value of each dragon type. Consensus dictates that infernal and...
View ArticleMajor Leads/Deficits – Evaluating Riot’s New Gold Metrics
I look at the EU LCS’s newest stat release, “major leads/deficits,” and explore what their approach is good for, where it falls short, and some alternatives. Read Riot’s introductory article Watch...
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Snowballing: Tracking How Gold Leads Grow (and Shrink)
Snowballing is an important part of League of Legends: if you can’t convert a large gold lead into a nexus lead, you will never win the game, and if you can’t convert a small gold lead into a large...
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Better Meta Analysis: Using Wilson Score intervals to evaluate win rates at...
With Game 5 of Team WE vs. Cloud9 complete, the Quarterfinals stage of the 2017 World Championship is over. The tournament clocks in at 107 games so far, and it’s clear which champion is strongest:...
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