How EdgeSlate Works

How data collection, models, grading, calibration, transparency, and responsible use connect inside the platform.

10 sport boards

MLB, NBA, NFL, NHL, NCAAB, NCAAW, NCAAF, WNBA, soccer, and tennis — active coverage depends on season and available sources.

Probability first

Projections are ranked by model probability, not hype.

Power vs Premium

High-confidence record is kept separate from Extras and Projected Lineups.

Honest states

Resolved rows show W/L/push; the rest remain unresolved or under source review.

01

Data Collection

Schedules, injuries, weather, market movement, historical performance, and sport-specific context are reviewed before publication.

02

Models

The workflow combines statistical signals, sport-specific rules, and market review to estimate probability and edge.

03

Grading

Each row preserves the fields available to it; missing prices, outcomes, units, and closes remain unavailable.

04

Calibration

Confidence bands are compared against real outcomes to test whether 60%, 70%, and 80% ranges behave correctly.

05

Transparency

The product shows wins, losses, pushes, and notes; not only attractive streaks.

06

Responsible Use

EdgeSlate is research. It publishes projections and context without promising outcomes or replacing personal judgment.

Workflow
01
Data
02
Model
03
Projection
04
Grading
05
Public Record

The proof is in the record.

Every graded projection is public. See the real results, then choose your plan.