The Esports Analyst Club.

Articles covering a range of topics from AI and gaming to the life in a start-up. You can get new articles emailed to you by signing up to the substack below.

Building an Optimal Champion Pool

How to build an optimal Champion Pool in League of Legends (LoL), what size it should be, why it's so important, and an AI tool to help you get started.

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How can AI help me improve at gaming?

How could an AI Coach work for League of Legends (LoL)? What data would it need? What models could it use? How could it help a player get better?

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Why Esports isn’t the Promise Land for AIs

Does AI have the ability to shape the future of esports? Have its potential performance benefits been overhyped? Where does it differ from traditional sports?

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An update on iTero, fundraising and the 'AI Coach'

What is the latest with iTero Gaming? Are we still fundraising? What is the “AI Coach” and what difference do we think it will make.

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Mastery: a statistical summary of 1M+ games

How does Champion Mastery effect your chance of winning a rank game in League of Legends (LoL)? This statistical analysis of solo queue answers that question.

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How useful is a Champion's Win Rate?

What do we need to consider when evaluating a League of Legends (LoL) Champions statistics? How useful is a Champion’s win rate in esports?

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Why is the League of Legends meta so stale?

The League of Legends (LoL) meta is stale of three main reasons. In most cases, the meta works. The same Champion’s are always strong. Coaches aren’t incentivised to innovate.

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So, what actually is AI?

The four key types of AI that are used in industry and how they are used. Large Language Models (LLM)s, Computer Vision, Reinforcement Learning and Predictive Modelling.

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LoL: How to win your Solo Queue Draft - a statistical analysis of 1M+ games

A statistical analysis of how to win draft in League of Legends (LoL) and the AI tool that can do it for you.

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LoL: Introducing the iTero Drafting Coach, in partnership with Overwolf

Introducing a new cutting-edge AI tool: The iTero AI Coach. Capable of analysing draft, recommending runes, studying your account and much more.

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LoL: Evaluating Teams with Betting Odds

How we can use esports odds to help predict play-off scenario percentages for the League of Legends (LoL) European Champions (LEC).

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LoL: How to Win Draft in Pro Play

A statistical analysis of winning draft in League of Legends (LoL) esports games. From metas to counters, win rates to experience.

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An Introduction to the Riot API

The ultimate beginner friendly guide to the Riot API with Python, includes a YouTube video, example notebook, community Discord and helpful tips.

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LoL: The impact of lane counters

In League of Legends (LoL), how much do lane counters impact the draft? How is this important to optimal drafting in esports?

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LoL: The Best Opportunities for AI in Esports

What opportunities are there for AI to be used in League of Legends (LoL) esports? Identifying talent, winning draft, optimising items and learning better macro.

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LoL: Pro AI Predicted Champion Tier List - Patch 12.11 Results

Can we use AI to predict the win rate of League of Legends (LoL) champions when they go on stage in esports games? What champions do we think will be meta? Who is the strongest?

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LoL: Do Player Comforts Matter, Really?

How much does experience on a Champion matter to a winning League of Legends (LoL) esports draft? Does experience on the opposing Champion matter too?

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LoL: Durability Changes in Pro Play — An Early Statistical Review

An analysis of the change to the League of Legends (LoL) meta following the durability changes in patch 12.10. How has it impacted esports?

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LoL: The Champion Tier List Challenge

Is it possible to predict the performance of a Champion in the LEC before they’ve played a single game? This challenge is about to answer that question!

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LoL: Can Solo Queue data be used for Professional play

Is it possible to use solo queue data to help analyse professional stage games played at the highest level of esports? What data is useful, and what isn’t? What do we need to consider?

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LoL: How Much Does Side Selection Matter, Really?

Red or Blue. In League of Legends (LoL), some people think it makes all the difference. This statistical analysis will answer that question.

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LoL: G2 vs. PSG - The problem with ego-drafting

How ego-drafting can seriously impact a team’s win chance in stage games of League of Legends (LoL). An analysis of the G2 Esports loss against PSG Talon at MSI.

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LoL: “Snowballatility” and why it matters in esports

An explanation of the statistic “snowballatility” and why it matters in League of Legends (Lol) drafting for stage games in esports. Some Champion’s are better than others with a Gold lead!

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LoL: How Gold Statistics can be used, and misused — An Evaluation of LEC Top Laners (Spring 2022)

A statistical analysis of Top Laners for the League of Legend’s esports league: the LEC, and who you should draft if you had a choice!

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LoL: Why Performance doesn’t equal Viewers in Esports

Why does a consistently high level of performance not always equate to a larger fanbase and viewership? What other factors do teams need to consider in order to become attractive to fans.

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LoL: Player Scouting and Statistics

How can statistics be used to help player’s scout and draft the best possible esports team in League of Legends (LoL)? What statistics matter? To what extent can AI be used?

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The Power of AI in Esports

How effective can AI be when applied to esports? It benefits from better data, but also a changing game. What is esport’s secret AI weapon?

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LoL: Draft of the Week — Team Vitality vs. SK Gaming

The League of Legends (LoL) draft of the week, decided by AI. This week, Team Vitality vs. SK Gaming and the power of winning every lane.

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LoL: Draft of the Week — Team BDS vs. Team Vitality

The League of Legends (LoL) draft of the week, decided by AI. This week, Team BDS vs. Team Vitality and the “I run into you” composition.

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The iTero AI Drafting Model

How AI can be used to optimise a League of Legends (LoL) draft by analysing the meta, player’s skill, counter picks, synergies and more. This specific article speaks of the uses in esports.

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LoL: Using "Personality Quizzes" & Nearest Neighbors for Recommendations

Using AI techniques to map a player’s “personality quiz” into a Champion recommendation in League of Legends (LoL).

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LoL: UMAP and K-Means to Classify Characters — and why it’s useful

Using AI techniques to classify League of Legends (LoL) Champions into different classes and why this can be useful.

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LoL: Content-Based Champion Recommendations with Dimensionality Reduction

Using AI techniques to simplify Champion playstyles into simple and explainable attributes, useful for classifying them into classes or recommending them to players.

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LoL: Analyzing “Tilt” to Win More Games

Is tilt measurable? Does playing after a loss impact your win rate? How about a win? We explore all this, plus the variance across Elos, in todays article.

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LoL: Graph Networks for Champion Recommendations

Measuring the similarities of Champions in a graph network, and how certain players consistently enjoy the same sort of Champions across all roles.

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