Projects
Projects
Web Development
Prospects.GG
Talent Scouting - Statistical Modelling
Prospects allows you to get ahead of everyone else with your talent scouting. The site uses multiple statistical methods to determine the most underrated players in solo queue and returns statistics, champion pools, and more!
Other features include the ability to list players as favourites so you know who you want to scout, add tags so you don't forget your previous opinions, and generated tags based on the previous statistical analysis.
Stack: PANTS (PlanetScale, Apexcharts, NextJS, TailwindCSS, Supabase)
Analytics Dashboard
Match Tracker - Solo Queue Tracker - Detailed Analytics
The analytics dashboard is the primary place for all of your teams data. Compatible with GRID, Bayes, or simply the Riot API, the dashboard will track hundreds of statistics, from matches to scrims and solo queue, that will allow your team to stay on top of your performance. Through the dashboard, you can analyse your previous drafts, player builds, player performance, and watch your games directly. Internal development has never been easier to access!
Stack: PSST (PlanetScale, SvelteKit, Supabase, TailwindCSS)
OQTracker
Match Tracker - Regression Analysis - Draft Analysis
OQTracker is a site designed to get an easily digestible overview of the opponent's performance and drafting priorities. It uses statistical methods to calculate a teams performance and expected performance.
OQTracker provides expected champions picked for each role, common bans, an overview of the player playstyle, their high-performing champions, and how their draft tendencies compare to another teams.
Stack: ANTS (Apexcharts, NeonDB, TailwindCSS, SvelteKit)
Analytics
Projects
Projects
Finding a Needle in the Talent Haystack
Research - Mathematical Modelling
It's important to have a dominant roster, and it's a power move to have a dominant roster with lesser known players. Through statistics and scouting, it's possible to find these players early and develop them into your own program.
Currently, my main focus of research is translating traditional sports statistics into esports statistics in order to find the best players before others.
Statistical Development
Research - Transitive Mathematics
Through pursuing my degree in mathematics, I've discovered a love and desire to develop statistics and models to quantify esports. My main interests in maths are optimisation, probability, and majorisation, which are extremely applicable in many games.
I hope to do further research into statistics used in other aspects of the world and transitioning them into applicable methods in esports.
Projects
Projects
Scouting Tools
Advanced Heatmaps
Location Mapping - Match Summary
Other than watching the game, heatmaps are one of the best methods to understand what happened in a match. They can tell you how laning phase went, jungle pathing and aggression, warding locations, objective setup, and much more.
Leveraging all of these parameters, I've developed heatmaps that can give you an extremely quick overview of what happened in any situation.
Quandrant Mapping
Location Mapping - Dominance Estimator
A scouting tool that interested me is mapping the 'dominance' of each team in each quadrant of the map. This can tell you highly contested areas, whether it's presence, vision, or any other indicator, that you can use to alter how you enter a map zone.
Pairing with all of the other heatmaps, you can download a teams movement patterns, being one step ahead at all times and exerting total map dominance.