About the ScratchOffsNY Data Team

ScratchOffsNY Data Team

Role: Lead Data Scientists & Editors

Focus areas: Bayesian prize-pool estimation · expected-value modeling · walk-forward cross-validation · NY Lottery data engineering.

Background: Independent quantitative researchers with combined experience in statistical modeling, time-series analysis, and consumer-finance data products. The team designs the seven-factor Smart Score, maintains the open-source pipeline at github.com/ap42213/Lottostudy, and reviews every published article and report before release.

Editorial policy: No paid placements, no affiliate relationships with retailers, and no compensation from the NY Lottery. Smart Score weights and methodology changes are versioned in public on GitHub. Past articles are dated and updated on revision.

Contact: Discord community · GitHub issues

Editorial Standards

• Every numeric claim links to its data source (NY Lottery prize feed or NY Open Data).
• Every published article has a named author, publish date, and last-modified date.
• Smart Score factor weights are open-source and version-controlled.
• We never recommend playing past your means. Every page links to NY Problem Gambling.

Read the full Smart Score methodology →