Build Clean Historical Context
A normalized, bias-free reconstruction of draw history that removes formatting noise, source inconsistencies, and pre-completion distortions.
Why It Matters
You cannot study structure on a crooked foundation. Clean context keeps drought, multiplier, and positional metrics comparable across time.
How Stepzero Uses It
Stepzero rebuilds historical records into one machine-readable model so structural signals remain stable across eras and connectors.
Example
Florida Pick 3 pre-2007 data contains formatting inconsistencies. Stepzero normalizes it so drought depth and position behavior stay trustworthy.
Oracle Query Starters
- Show me the clean history for Florida Pick 3.
- How did the drought table look after the completion event?
- Which eras show structural shifts in the clean model?