I build forecasting models, player valuation systems, and market-analysis tools that estimate probabilities, test assumptions, and turn uncertain outcomes into measurable decisions.
Sports, data, and markets are not separate interests. They are the environment in which I study uncertainty, evaluate evidence, and improve decisions.
Complex systems with measurable performance, incomplete information, and uncertain outcomes.
The evidence used to define problems, estimate probabilities, validate assumptions, and explain results.
A live benchmark that continuously prices new information and tests whether an analytical edge is real.
End-to-end analytical products built from data collection and modelling through market comparison, validation, deployment, and continuous refinement.
A production forecasting application that estimates fair probabilities for Major League Baseball First Five Innings markets, compares those estimates with available prices, and supports disciplined risk decisions.
Open application →An interactive valuation application using on-ice performance to estimate player market value, compare contracts, and evaluate salary efficiency across players, teams, general managers, and agents.
Open application →Independent sports-market research focused on pricing, expected value, closing-line movement, model validation, bankroll management, and distinguishing genuine edge from short-term variance.
View repositories →I grew up playing a board game called National Pro Hockey. Every player had a card, and every roll of the dice recreated the strengths, weaknesses, and tendencies of the players I watched on television. I became fascinated by how statistics and probability could realistically model the game.
That curiosity led me to design my own tabletop sports games from scratch, using player ratings and probabilities to recreate real-world performance. Looking back, those projects were my first attempts at understanding complex systems and modelling uncertain outcomes through data.
My career has since taken me through several disciplines, but the underlying approach has remained remarkably consistent. I've become a Certified Strength and Conditioning Specialist, earned a B Ticket Refrigeration Operator certification, returned to university to become a teacher at twenty-nine, spent nineteen years in education, and now build sports forecasting models, player valuation systems, and market analysis applications.
Those experiences may seem unrelated, but they've all been driven by the same process: understand the system, gather reliable evidence, test assumptions, and build practical solutions.
Today, sports, data, and markets are where those interests come together. Every game presents uncertainty. Every market reflects a collective estimate of future outcomes. My work focuses on building analytical tools that estimate probabilities, compare those estimates with market prices, measure performance over time, and ultimately help make better decisions under uncertainty.
The goal is not to predict every outcome. It is to make consistently better decisions than the available evidence would allow otherwise.