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 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.
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?
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?
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.
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.
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?
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.
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.
A statistical analysis of how to win draft in League of Legends (LoL) and the AI tool that can do it for you.
Introducing a new cutting-edge AI tool: The iTero AI Coach. Capable of analysing draft, recommending runes, studying your account and much more.
How we can use esports odds to help predict play-off scenario percentages for the League of Legends (LoL) European Champions (LEC).
A statistical analysis of winning draft in League of Legends (LoL) esports games. From metas to counters, win rates to experience.
The ultimate beginner friendly guide to the Riot API with Python, includes a YouTube video, example notebook, community Discord and helpful tips.
In League of Legends (LoL), how much do lane counters impact the draft? How is this important to optimal drafting 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.
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?
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?
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?
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!
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?
Red or Blue. In League of Legends (LoL), some people think it makes all the difference. This statistical analysis will answer that question.
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.
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!
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!
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.
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?
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?
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.
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.
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.
Using AI techniques to map a player’s “personality quiz” into a Champion recommendation in League of Legends (LoL).
Using AI techniques to classify League of Legends (LoL) Champions into different classes and why this can be useful.
Using AI techniques to simplify Champion playstyles into simple and explainable attributes, useful for classifying them into classes or recommending them to players.
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.
Measuring the similarities of Champions in a graph network, and how certain players consistently enjoy the same sort of Champions across all roles.