Patrick Ewing's legacy extends beyond the NBA: the Hall-of-Fame center now pioneers sports analytics, using AI and machine learning to transform basketball training.
Knicks fans celebrated Game 2 of the 2026 NBA Finals by sending an OnlyFans model a Patrick Ewing jersey — a custom request that netted her $300 for a 10-minute clip. The gesture, while lighthearted, underscores the enduring cultural relevance of a player who led the franchise to two Finals appearances in the 1990s.
“I love New York, and I love New York fans, and so I was happy to do any Knicks-related content.” — Courtney Tillia, content creator
As the Knicks chase their first championship since 1973, Ewing's number 33 has become a rallying symbol. Fans climbing light poles and gathering at Madison Square Garden are a reminder that the team's identity is still shaped by the Hall-of-Fame center who averaged 22.8 points and 10.4 rebounds over his career. The 2026 run has revived discussions about Ewing's impact — not just as a player, but as a figure who bridges eras.
After retiring, Ewing co-founded a sports analytics company that applies data science to basketball. The platform uses machine learning to analyze player shooting mechanics and defensive positioning, offering real-time adjustments. This mirrors how other athletes have embraced technology — similar to Raul Jimenez's integration of tech in football, Ewing's venture combines traditional coaching wisdom with modern data.
“The game has evolved,” Ewing has said in interviews. “You can't just rely on instinct anymore. Data tells you where your weaknesses are and how to fix them.” His company has partnered with several NBA teams, providing insights that reduce injury risk and improve efficiency. The transition from hardwood to boardroom has positioned Ewing as a voice for athletes looking to leverage their experience into tech innovation — a path also explored by executives like Karren Brady in business leadership.
Ewing's company has pioneered three key technologies that are reshaping how players prepare and perform:
These tools reflect a broader trend where analytics and hardware converge to create smarter training environments. For example, Caitlin Clark's balancing of brilliance and behavior in the WNBA also benefits from similar data-driven feedback loops, showing the sport-wide adoption of such technology.