Basketball · Player Search

Search any player. Compare any two.

This is what runs in the staff room. Type a name, set position thresholds (Olen-style), filter by cohort. Add up to three players to compare side-by-side. Every number is real model output from BB Combined R/Y/G v1.

Filter the board

— players
Click any column header to sort. Click + compare on up to 3 players. Then scroll down to see them stacked side-by-side with R/Y/G + trajectory + friction context per player.
Player Ht OReb% DReb% Stl% Blk% USG% Risk Trajectory Combined R/Y/G

Side-by-side compare

Up to 3 players. The math underneath is the same model — different inputs land at different signals.

How EDGE3 reads players the model has never seen

Returning college players have prior-year college stats. The trajectory model uses those + the player's scheme context + behavioral signals to predict next-season improvement or decline. That's the model behind the table above. Validated on past cycles where the next-season outcome already played out.

HS recruits with no college stats yet use a different read: HS recruiting class quality (247 composite + national rank), HS scheme experience (asked in the survey), position archetype matching against historical comparables, and program-fit modeling. The output is a development band, not a single trajectory score. Same architecture — different inputs.

D2, NAIA, international players are on the Q3 2026 roadmap — pipelines for those data sources are being built. Today the search is D1-live; coverage expands as data lands.