URAM ANALYTICS
Tools
Interactive tools and apps built to evaluate performance, decision making, and outcomes in sports.
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Tools include a fantasy football outcome simulator, an NFL Expected Points Added calculator, and a MLB pitching change matchup simulation tool.
Beneath the Record: Fantasy Football Outcome Simulation Tool
A fantasy football outcome simulator that separates team quality from luck and estimates expected league finishes.
Pitching Change Matchup Simulation Tool
A simulation based tool for evaluating MLB pitching change decisions using matchup and workload context.
Expected Points Added Calculator
An interactive NFL Expected Points Added (EPA) calculator for evaluating the impact of individual plays and game situations.
Talks
Here, you'll find recordings and slide decks from conference talks and other opportunities where I've presented analytics work and research.
2024 SABR Analytics Conference
Presented a framework for evaluating pitching change decisions using matchup and game state context.
2023 Saberseminar Conference
Presented research on pitch type sequencing that introduced a sequence similarity framework and examined its relationship to pitcher performance and predictability.
2022 SABR Analytics Conference
Presented a machine learning–driven exit velocity metric to evaluate contact quality relative to expectations.
In the Wild
Beyond the research I do here, I’m always happy to talk shop with people who are as obsessed with the data as I am. Here is a collection of podcast appearances, newsletter features, and other spots where I've been able to share my work and think out loud.
The Edward Egros Substack | February 2026
Which Hurlers Have the Best Pitch Sequences in MLB?
Edward Egros applies the Sequence Similarity Ratio (SSR) framework I developed with Ajay Patel to analyze how pitchers like Michael Lorenzen and Seth Lugo adjust their approach throughout a game.
Au Jus Podcast | February 2026
Pitch design framework + White Sox pitcher profiles
Discussing my pitch profile improvement framework and how it applies to the White Sox pitchers I profiled.
Data Points | September 2024
An improved framework for evaluating pitching change decision making in MLB
This newsletter featured my pitching change framework and methodology, highlighting how the model uses machine learning to evaluate managerial decision-making beyond just game outcomes.