Pick Data, WCS, Tiers, and Glossary Terms
WagerWatchdog turns social betting posts into structured, scoreable data. Common fields across tables, profiles, and analytics:
Written By Jared Smith
Last updated 20 days ago
Pick Data, WCS, Tiers, and Glossary Terms
WagerWatchdog turns social betting posts into structured, scoreable data. Common fields across tables, profiles, and analytics:
Anatomy of a Pick
- Subject β Player, team, or market.
- Sport β NFL, NBA, WNBA, MLB, NHL, CFB, MBB, CBB.
- Category β Stat or market type (points, spread, moneyline, etc.).
- Direction β Over, under, or other.
- Value/Line β Target number when applicable.
- Outcome β Pending, correct, incorrect, push, or void.
How Pick Lines Read
- Props β Stephen Curry under 28.5 Pts
- Moneyline β Team Name to Win
- Spreads β Kansas City Royals +1.5 Spread
- Event props β to record a Double-Double
Two Score Families
- Profitability (PR, SPS, PPS) β Would tailing every pick be profitable? 50 = break-even ROI.
- Win-rate skill (WCS) β How reliably does the expert pick winners? 50 = average skill.
Tiers reflect profitability, not WCS.
Profit Rating labels
- PR β Overall profitability (straights + parlays).
- SPS β Straight picks only.
- PPS β Parlays only.
WCS
Win-rate skill using sample size, recency, difficulty, and consistency. Companion to PR, not a replacement.
Expert Tiers
Diamond, Elite, Proven, Rising, and others summarize profitability when enough picks exist. Hidden on This month views because short samples are noisy.
ROI % and Units
- ROI % β Modeled return if you tailed every settled pick.
- Units β
(ROI% / 100) Γ total picks, shown as+857u. - All-time ranks by PR. Time windows rank by realized ROI.
Sport Codes
- pfb = NFL. cfb = college football. mbb = NCAA men's basketball. cbb = NCAA baseball (not basketball).
How Picks Are Collected
- Crawl monitored sources.
- Extract and parse picks from messages.
- Normalize players, teams, categories, and lines.
- Match picks to games.
- Score using final results.