About Anova Sports

We’re a small, coach-first crew working on your behalf: former executives from the world’s largest consulting firms, developers with big-time sports and sports-tech experience, data scientists who live in possessions and efficiency, and a team of basketball coaches who help shape every feature. We work like an extra assistant on your bench—focused on clear, simple insights that help you win.
Elite analytics. Zero data team required.
ANOVA puts pro-grade scouting insight in the hands of every coach—high school, club, D3, JUCO, and low- to mid-major Division I programs without tens of thousands to spend—using statistics, simulation, and AI to reveal what wins.‍
Access for all: we believe world-class analytics should be accessible to every coach, not just programs with big budgets.

Why we exist: Scouting is everything

The biggest edge in basketball is knowledge—knowing your opponent and knowing your own strengths and weaknesses. When the numbers make identity obvious, you can plan with conviction and impose your game.

ANOVA is built to support that work, not replace it:
  • Know them: tempo, efficiency, shot profile, Four Factors, foul pressure, and trendlines.
  • Know yourself: lineup impact, shot mix, ball security, glass control, foul discipline.
  • See the game before it’s played: our simulation engine runs the matchup on paper first, showing projected score ranges, win odds, and where your advantages really are.
  • Sharpen film study: stat-led takeaways tell you which players, lineups, and situations to focus on—so you watch less, learn more, and clip with purpose. All of this is powered by statistics, simulation, and AI, tuned specifically for coaches.

Our Promise

See The Game
Differently.
Transform your coaching strategy with actionable insights from our advanced basketball analytics platform.
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Our Team:
Mohammed Benslimane
Head of AI & Computer Vision, AnovaSports

Mohammed leads AnovaSports’ AI and computer vision strategy, drawing on nearly a decade of experience driving innovation at Tesla, Meta, and Hudl. He specializes in model optimization, computer vision, embedded systems, and generative AI (LangChain, RAG), turning real-world coaching problems into production-ready AI scouting and simulation tools.

Shalva Jashiashvili
Full-Stack Engineer, AnovaSports

As a Full Stack Engineer at Toptal, I leverage my 8+ years of experience in software development to deliver high-quality solutions for clients across various industries. I have a strong background in TypeScript, JavaScript, and Angular, which I use to create robust and scalable web applications.

Bogdan-Claudiu Anghel
Product & UX/UI Design Lead, AnovaSports

Bogdan leads product and experience design at AnovaSports, combining a computer science background with deep UI/UX expertise. He translates the needs of coaches and analysts into intuitive, visually clear workflows so that advanced data and simulations are easy to understand and act on.

Edoardo Barp
AI Architect & Simulation Scientist, AnovaSports

Edoardo architects AnovaSports’ simulation and AI engine, with a focus on secure, high-performance, “GPT-level” assistants that work with regulated and on-premise data. With a physics background and experience as a data scientist, CTO, and AI consultant, he designs the models that power our scouting insights and game simulations.

Felipe Rodrigues Maia
Cloud & MLOps Architect, AnovaSports

Felipe owns the cloud and MLOps infrastructure at AnovaSports, engineering the architecture that manages the full lifecycle of our computer vision and analytics jobs—from data upload to inference, storage, and monitoring. He ensures high-scale processing, model version control, and data integrity so the platform remains fast, reliable, and coach-ready.

Shiva Tejaswi Mandem
Product Analytics & Data Science, AnovaSports

Shiva sits at the intersection of product, data, and AI at AnovaSports. With an M.S. in Data Science & Business Analytics and hands-on experience in data engineering, ETL, machine learning, BI (Tableau, Power BI), and Gen AI, Shiva helps shape user-centric product decisions and turns raw data into clear, actionable insights for coaches and the product team.

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