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IBM Tracked 21 Joints to Score US Open Serves. The Data Could Reveal Performance Trends
A new AI-powered capability is enabling fans and athletes to tap into one of the complicated aspects of the US Open. This year, IBM, which is behind the tournament's digital app and website, launched a new feature called Serve Quality. As tennis fans can attest, the serve is considered to be one
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IBM Is Using The U.S. Open To Prove Sports Are the Perfect Playground for AI
Opinions expressed by Entrepreneur contributors are their own. Many brands use the U.S. Open to entertain clients or put up flashy signage. IBM does both, but its involvement goes much deeper. Behind the scenes, the century-old tech titan is the invisible hand shaping the fan experience, powering
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IBM AI deployed at the US Open tracks 21 key joints of players 50 times per second, generating over 1.2 billion data points throughout the tournament. The new Serve Quality feature quantifies player performance in near real-time while protecting against 500 million suspicious requests targeting tournament infrastructure.
IBM AI is transforming how millions experience the US Open, processing 1.2 billion data points throughout the tournament to deliver insights directly to fans worldwide
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. The tech company's involvement extends far beyond traditional sponsorship, as it powers the tournament's digital app and website while engaging 14 million fans globally2
. This year's US Open digital platforms generated nearly 47 million visits, marking a 19% year-over-year increase as fans embrace AI-powered features2
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Source: Entrepreneur
The AI-powered feature called Serve Quality represents a significant advancement in sports analytics, tracking data from 21 key joints of an athlete's body along with metrics such as ball toss, wrist flexion, and racquet positioning
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. The system captures movements 50 times per second, generating approximately 4.6 million data points per match2
. IBM's proprietary AI models analyze this real-time data to produce a near-real-time Serve Quality score delivered through the official US Open app, allowing fans and athletes to quantify one of tennis's most critical skills1
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Source: Inc.
To develop this technology, IBM accessed two years of raw optical limb-tracking data collected during the 2024 and 2025 seasons by Hawk-Eye, the sports technology company known for operating the electronic line-calling system
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. This partnership demonstrates how AI-driven innovation builds upon existing sports technology infrastructure to create new analytical capabilities.Beyond performance tracking, IBM AI enhances fan engagement through conversational interfaces and streamlined content delivery. The match chat feature functions as an AI chatbot for fan queries, allowing users to ask conversational questions about the sport, such as record statistics and historical data
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. The all-new Live Updates homepage offers a more personalized experience, enabling fans to prioritize their favorite players and quickly access relevant matches, insights, and stories2
.For the USTA's small editorial team, bespoke AI tools generate match summaries that humans then review and edit, increasing content production capacity by 300%
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. This approach balances speed and accuracy while maintaining editorial oversight, addressing the challenge of scaling operations during the three-week tournament period.IBM's role extends to critical security operations, protecting against nearly 500 million suspicious requests targeting the USTA's infrastructure and digital platforms
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. AI agents help identify, categorize, and prioritize potential threats, allowing the security team to respond faster and better protect tournament assets. This massive security operation underscores the complexity of running a temporary business operation with millions of customers and enormous amounts of data within a three-week deadline2
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The IBM 2026 Sports Survey reveals strong fan acceptance of AI integration in sports, with 80% of fans seeing value in AI-powered sports experiences, particularly real-time statistics, personalized content, and translation
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. Among tennis fans specifically, 64% trust AI-generated sports content, suggesting growing comfort with automated systems in sports contexts2
. The study also highlights that 73% of tennis fans use sports apps generally, but that number jumps to 91% during live events, making reliable real-time digital experiences increasingly critical2
.The US Open represents one component of IBM's broader sports strategy. The company powers digital platforms and handles data for major events including the UFC, the Masters, and Wimbledon, running similar programs across these properties
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. IBM is also investing in grassroots sports innovation through the USTA Connect Innovation Challenge, a nationwide open call for tech innovators, engineers, and startups to build digital solutions for tennis2
. Selected participants in this startup innovation challenge receive access to USTA and US Open data sets to power their prototypes, with evaluation by a panel including USTA representatives, venture capitalists, and IBM team members2
. This dual approach—working with established major events while nurturing emerging technology—positions IBM at both ends of the sports technology spectrum, potentially shaping how future generations experience athletic competition.Summarized by
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