Introduction
An updated NCAA data layer has been developed to support early identification within my scouting workflow.
This first public release includes 998 senior/graduate players, filtered through a minimum threshold of 25 games played and 14+ minutes per game to create a cleaner, more actionable working pool for clubs and agencies.
The database is standardized, updated through March 31st, and maintained as a working infrastructure for scouting, monitoring, and market-oriented decision-making.
Purpose
The database is used as a first filtering layer before video and live scouting, helping isolate profiles that already meet minimum sample and role-related requirements.
Instead of offering a full unfiltered list, this release is designed to reduce noise, speed up the first stage of player identification, and make the database more usable in a real scouting process.
Example – role and market-oriented filtering
As an example, the database can be used to instantly isolate players who meet the following criteria:
- height 6’7” or above
- at least 6 three-point attempts per game
- three-point percentage of 34% or higher
This type of filtering makes it possible to immediately focus on larger shooting profiles that already satisfy both physical thresholds and role-related shooting requirements, before moving to video and live evaluation.

How it fits my workflow
This layer supports:
- early identification
- in-season monitoring
- faster first-stage filtering
- decision support ahead of the market
Access
Access to the NCAA Division I database is reserved for annual members (clubs and agencies).
This database is built as a practical scouting tool, designed to reduce noise, speed up filtering, and support market-oriented decision-making throughout the season.
Closing
This is not a public data dump. It is a working scouting tool.
The current release focuses on 998 senior/graduate players with a meaningful statistical sample, offering a cleaner and more usable layer for professional scouting and decision-making processes.

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