Originally published . Last materially updated .
PropsBot Press, Data & Research is the canonical index for PropsBot’s public research, performance methods, reproducible studies, and media resources. Use it to locate the permanent source behind a claim, verify who authored it and when it changed, inspect the method and limitations, and find any public data package. Current releases include a 2,763-point MLB and WNBA line-shopping study, a 40-scenario parlay-hold model, the recurring Weekly Sportsbook Pricing Report, the verified track record, and the performance methodology. Each research record preserves its version, measurement window, sample, exclusions, citation text, and correction route. PropsBot publishes aggregate or de-identified evidence when licensing permits; it does not redistribute licensed raw sportsbook feeds. The hub is maintained by David Reilich, Founder and Lead Analyst, under PropsBot’s editorial and corrections policies. Reporters should cite the individual study as the claim owner and use this page as the discovery catalog.
| Research owner | Finding or scope | Version or window | Method and limitations | Data access | Suggested citation | Last verified |
|---|---|---|---|---|---|---|
| Weekly Sportsbook Pricing Report | Recurring exact-line price-dispersion research across eight sport groups when the minimum-data gate passes. | Edition ending 2026-07-21; v1.0.0; seven-day UTC window. | Same event, market, player, side, and prop point; nearest valid T-90 capture; aggregate-only disclosure. | Download ZIP: CSV, JSON, method notes, and SHA-256 manifest | PropsBot.AI, Weekly Sportsbook Pricing Report, edition ending July 21, 2026, v1.0.0. | |
| Player-Prop Line-Shopping Study | 2,763 same-line MLB and WNBA prop points across five sportsbooks near 90 minutes before start. | July 18, 2026; v1.0.0. | Fixed 24-hour UTC window; exact-line comparisons; a price study, not an outcome or ROI study. | View the evidence package, aggregate tables, audit sample, scripts, and checksums | PropsBot.AI, Player Prop Line Shopping Study, July 18, 2026, v1.0.0. | |
| Parlay Hold Study | Forty controlled scenarios showing how leg count and price affect parlay probability and sportsbook hold. | July 19, 2026; v1.0.0. | Modeled scenarios with published assumptions; not a claim about every sportsbook or realized bettor outcomes. | View the evidence package, calculations, method, and checksums | PropsBot.AI, Parlay Odds and Hold Study, July 19, 2026, v1.0.0. | |
| Verified Track Record | PropsBot’s public prediction ledger and the stated sample, grading, confidence, and ROI results. | Continuously maintained record. | Read the denominator, grading rules, sport scope, and historical-result limitations before citing a metric. | Inspect the record and linked evidence | PropsBot.AI, Verified Track Record, accessed on the citation date. | |
| Performance Methodology | How PropsBot handles inputs, confidence, grading, reporting, and the limitations of historical results. | Living methodology owner. | Use with the track record; methodology and results answer different questions. | Read the complete methodology | PropsBot.AI, Performance Methodology, accessed on the citation date. |
PropsBot assigns each study one permanent landing page and one versioned evidence package. Before publication, the team defines the question, population, measurement window, matching rules, variables, exclusions, and minimum-data gate. The analysis is generated from a frozen extract; aggregate tables are checked against the source totals, and a README records assumptions and known limitations. Public packages include machine-readable CSV or JSON when licensing permits, a human-readable method, and a SHA-256 manifest so later copies can be verified. Licensed sportsbook observations, personal data, credentials, and other restricted raw fields remain private; their absence is stated rather than hidden. The study page carries the result, author, publication date, last substantive update, version, suggested citation, and correction route. New recurring editions update the recurring owner instead of creating near-duplicate pages. Material corrections are logged, the modified timestamp changes, and an earlier version is retained when needed to explain what changed.
This fixed research figure summarizes the published July 18 study. It is not a live odds feed or a list of picks.
Model performance: what a large prediction record does and does not prove, why denominators matter, and why a hot week is not the same as calibration.
Player-prop pricing: how a projection, a line, and a price work together. A model can like an over while the bet becomes unattractive after the market moves.
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