How It Works
Behind the User-Interface, RosterOps is analyzing a massive dataset for patterns of success, to enable quick insights. An overview of how this is achieved is below.
Data
RosterOps analyzes more than 3.5 million statistics* from past player and roster performances. The data is organized by division, conference, and position, enabling accurate like-for-like comparisons.
Data Science
Machine learning algorithms identify patterns of success** by analyzing teams that made deep tournament runs and those that fell short. By leveraging the entire historical dataset, the system enhances efficiency and saves time. The algorithm prioritizes key factors such as efficiency, experience, and team balance to deliver meaningful insights.
Results
Gain confidence through analytics that complement your coaching style and validate your instincts with a data-driven perspective. Quickly identify the most impactful players on your roster while uncovering hidden strengths and potential vulnerabilities in different lineup variations.
We are changing the way GM’s manage their roster strategy
Behind the User-Interface, RosterOps is analyzing a dataset of over 3.5MM statistics for patterns of success, to enable quick insights.
Smarter Roster Construction
We use Artificial Intelligence to analyze player data and predict scoring performance, helping you craft rosters that maximize your team’s potential.
Proven Results You Can Trust
Our analytics align with real-world success, giving you confidence in high-stakes roster decisions. See the difference data-driven strategies can make.
Your Privacy, Your Control
We value your privacy. RosterOps will never track or sell your information, giving you peace of mind as you plan your roster.
* Five historical seasons considered, over 20,000 players each season, and well more than 35 key statistics supporting the player score model = >3.5MM datapoints.
** Teams which made the Sweet Sixteen in the NCAA Tournament are considered to make a deep tournament run.