Articles, Stats Theory

Improving CSD – A better way to measure effectiveness in lane

4 Comments

The Creep Score Difference statistic is commonly used to evaluate a player’s laning phase; however, it’s far from a perfect stat. One of the main problems I have with the stat is that it doesn’t account for the champion matchup, which may give each player advantages or disadvantages before the game even starts.

To account for the strength of matchups in CSD, I have created a matchup-adjusted CSD stat which is calculated by taking the actual CSD and subtracting the matchup’s average CSD from it.

Adjusted CSD = CSD – Matchup CSD

Since this formula uses matchup averages for CSD, it is important to set some limitations on what can be used as the matchup average. I’ve set the sample size limit for each matchup to 5 games: if a matchup has been played 5 games or more, then the average CSD over those games will be used, but if the matchup has been played for fewer than 5 games then the matchup CSD will be registered as 0, meaning that the adjusted CSD will equal the actual CSD.

One issue that arises from implementing a minimum number of games for a matchup is that there may not be enough data on a lot of the matchups. While I only want to use pro play for the matchup CSD value, I also need to ensure that I can get a value for almost all matchups. To do this in the calculations that follow, I’ve decided to use data from the CBLoL, LCK, LCS, LEC and LMS. All of the data used from these leagues is from games played on the same patches (9.01, 9.02, 9.03, 9.04, 9.05) during the Spring Split 2019 regular season.

To illustrate, the size of the adjustments that can be made using this approach, the tables below show the 5 matchups for each role that have the largest average CSD at 10 minutes with a minimum of 5 games played. Continue reading Improving CSD – A better way to measure effectiveness in lane →

Analysis and Opinion

Turret Plating and Early-Game Variance: How well did Riot manage the metagame for the 2019 spring split?

Turret plating was introduced to League of Legends for the 2019 season as a way to improve and extend laning phase. That change, along with some other factors, had the potential for huge impact on the pace and metagame of pro LoL. After a full split of domestic and international play, it’s time to evaluate the results to see whether Riot’s changes produced the intended effects, and just as importantly, whether or not they created any collateral damage to the game’s balance.

Spoiler: things worked out pretty well!

Where did the shift come from?

In a development update going into the preseason, Riot stated:

“[Turret plating provides] a more protected and slightly longer laning phase, but still rewards those early push or strong lanes types with the opportunity to destroy a lot of barricade segments and reap the gold rewards.”

Essentially, the goal was to make the first 15 minutes of the game less volatile, but still give it a high influence over the outcome of the game. There was also a sub-goal of bringing down game lengths, partly seen in Riot saying that they wanted to see “decided games resolve faster.”

The goal was not to make the laning phase or early game a more influential part of the overall game flow, and that is the most important aspect of what we’ll evaluate below. Continue reading Turret Plating and Early-Game Variance: How well did Riot manage the metagame for the 2019 spring split? →

Check the Data

Win Probability Calculator Updated for 2019

I’ve just inserted the first set of early-game rating (EGR) coefficients for 2019, so you can go play with the win probability calculator!

A few findings from the early weeks of the year:

The premier source for League of Legends esports data, analytics, and insights