The goal of ShotQuality is to dispel the luck of the game and deliver the expected results based on the accuracy of each shot’s quality, rather than just make or miss. There are over 90 different variables involved in calculating ShotQuality. Overall, we have over 60 NCAA D-1 teams subscribed including the likes of Auburn, Arizona, and StanfordUniversity

Analytics

Sports

ShotQuality

Simon Gerszberg

Marcelo Gallicchio

Ryan Dranginis

Alexandre H. Bustamante

The Data Science and Engineering Team at ShotQuality leverages advanced analytics and machine learning techniques to evaluate shot quality metrics for basketball teams. This multi-disciplinary team combines expertise in data modeling, computer vision, and statistical analysis to refine algorithms that assess over 90 variables influencing shot outcomes. By transforming raw game data into actionable insights, they enable teams like Auburn and Stanford to enhance their strategies and performance.

Data Science and Engineering Team

The Leadership Team at ShotQuality drives the company’s strategic vision and operational efficiency, ensuring that data-driven insights into shot quality are effectively communicated to clients. Composed of the CEO/Founder, Chief Operating Officer, and Vice President of Marketing, this team collaborates to foster partnerships with NCAA D-1 teams, enhance product offerings, and expand market presence, ultimately revolutionizing how basketball performance is evaluated.

ShotQuality

Org chart

Teams

Data Science and Engineering Team

Leadership Team

Offices

ShotQuality

Org chart

Teams

Data Science and Engineering Team

Leadership Team

Offices

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