About Beyond the Metric
The standard analytics toolbox is powerful but narrow. The same models get applied to the same questions across every sport. Beyond the Metric starts somewhere different.
We borrow from disciplines that have never been part of the conversation -- information theory, signal processing, autonomic physiology, dynamical systems -- and test whether those tools reveal structure the conventional approach misses.
Every analysis on this site follows the same process. The data comes first. The question gets formalized. The methods get tested for robustness before the writing starts. If a finding does not survive that process, it does not get published.
The result is a small body of work with unusually high standards: named data sources, explicit assumptions, stated limitations, and interactive visualizations you can interrogate yourself.
Standards
Pre-publication filtering
If a finding breaks under robustness testing, it does not make the page. Every dataset, every test, every figure is built before the writing starts.
Transparent methodology
Sample sizes, statistical tests, and limitations are stated in every analysis. The methods section is not optional.
Multi-season replication
Single-season results are hypotheses. Findings that do not replicate across independent samples do not get presented as conclusions.
Team
Adam Klockars
Co-Founder & CTO
Platform engineer with deep experience in distributed systems, API design, and AI workflows. Previously Senior Engineering Manager at Zoom and seven years at SurveyMonkey building integrations, billing systems, and developer platforms. University of Waterloo, Computer Engineering.
New analyses when they are worth reading.
No schedule. No filler. Just original sports analytics, transparent methodology, and findings that survived real scrutiny.
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