The Evolution of Competitive Rocket League Through the Lens of RLCS League Play TL;DR at bottom Previously… The first article in this series can be found here. It goes through the general trends across seasons via the stages of motor learning. While some of the gameplay differences between players performances (especially those from different seasons) …
Continue reading “A Brief History of Rocket League
Part II: Pioneers & Outliers”
The Evolution of Competitive Rocket League Through the Lens of RLCS League Play Rocket League gameplay has evolved greatly over the RLCS seasons: from its infancy in Season 1 when the air dribble was a new mechanic, to the current high-flying demo-heavy meta. How can this progress be broken down? The stages of motor learning …
Continue reading “A Brief History of Rocket League
Part I: The Stages of Learning”
TL;DR at bottom Previously… Part I was the origin story for the expected goals (xG) model, while Part II covered the stats in detail. Makings of a Winner Here, we will take a look at what characterises a winning team and draw some conclusions about where Rocket League. This article will make references to stats …
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Return of the Winners”
TL;DR at bottom Expected goals: An introduction What is an expected goal? Expected goals (xG) is a stat (commonly used in football and hockey) that quantifies the quality of a scoring opportunity (a chance). For every shot in every game, the probability of that shot becoming a goal is predicted. In the simplest of models, …
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A New Stat”
This is a very interesting problem, since the skill level at the professional level has clearly gone up. We’ve had similar ideas floating around the calculated.gg developer Discord for a while. Then, recently, there was a reddit post on this topic on /r/RocketLeagueEsports: The general consensus in the post was that they would be around …
Continue reading “If RLCS Season 1 players were transported to 2019, what rank would they be?”
