Project notes / Web showcase

RosterEdge

NBA trade analysis with cap checks and rotation impact.

Lead developer: Geoff De Los Santos

What it does

Pick two NBA teams, move players between them, and RosterEdge validates simplified salary rules, scores roster fit, compares what each side gave up, and previews the resulting rotation.

The problem

Salary math is only one part of evaluating a trade. Roster need, value balance, and rotation impact also matter.

How it works

Local team, salary, and player data support a self-contained trade builder. Validation explains failures, while fit models and depth charts show the effects on each roster.

Technical notes

Two-team trade builder with salary validation
Player fit scoring and trade summaries
Post-trade roster and rotation preview from local data