Athlete Biometric Data and Wearable Tech Metrics: Is Player Data Intellectual Property in Basketball?

Introduction

Professional basketball teams are starting to incorporate wearable technology that collects different biometric data from players. The Cavaliers, Jazz, Pacers and Suns, who were the first NBA teams to install biometrics labs, have now started to test biometric and performance data including heart rate variability, jump load, fatigue indicators, sleep metrics, and movement tracking. This data is collected through tools such as Catapult vests, WHOOP bands, and optical tracking systems. These datasets shape conditioning programs, influence coaching decisions, and increasingly affect player valuation.

The Canadian Elite Basketball League (CEBL), is a new and expanding Canadian basketball league, which may potentially use biometric data and wearable tech metrics in the future. This discussion considers whether biometric player data qualifies as intellectual property under Canadian law. I argue that raw biometric data is not protectable as IP because it consists of facts. However, the systems, models, and analytical tools built from that data may qualify for protection as trade secrets or copyrighted compilations. Ultimately, control over player data emerges primarily through contract and privacy law, especially PIPEDA, rather than through traditional IP mechanisms.

Raw Biometric Data as “Facts”: Why Is It Not Copyrightable?

Canadian copyright law protects “original” works that exhibit skill and judgment, but it does not protect bare facts. The Supreme Court of Canada in CCH Canadian Ltd v Law Society of Upper Canada held that originality requires a “non-trivial” intellectual effort, but not creativity.¹ Biometric data such as heart rate readings, exertion metrics, sprint speed are automatically produced factual measurements of an athlete’s body, not expressions created through skill or judgment.

Similarly, in Delrina Corp v Triolet Systems Inc, the Ontario Court of Appeal reaffirmed the idea/expression dichotomy. Ideas and facts are not protected, only their expression may attract copyright.² This aligns with long-standing Canadian and international doctrine that raw data itself cannot be owned as IP.

Accordingly, biometric measurements collected from basketball players do not meet the threshold for copyright protection. They are facts generated by an athlete’s physiology, recorded mechanically by devices with no human authorship involved and therefore are not protected under copyright protection.

What Can Be Protected? Compilations and Algorithms

Although raw data is not copyrightable, organizations can protect the interpretation, analysis, and structuring of that data.

Data Compilations and Curated Datasets

If a team compiles biometric data into a structured database, combining health metrics, performance tracking, and player-specific historical analysis, the compilation may qualify for copyright protection, provided the selection or arrangement reflects skill and judgment. The CCH standard leaves room for such compilations to be considered original works, although the bar remains high. An example would be, the Los Angeles Lakers strategically curating datasets in a way that calculates the overall percentage of durability of a player. In that example, if they were able to show this strategic curating reflects skill and judgement, then it is likely to receive protection under copyright law.

Canadian jurisprudence, such as Toronto Real Estate Board v Commissioner of Competition, warns that mere mechanical compilation is not enough.³ Yet where human judgment is applied, for example, in selecting which biometric indicators matter for injury prediction, a compilation may satisfy the originality threshold.

Proprietary Algorithms and Predictive Tools

Many professional basketball teams use proprietary algorithms to predict injury risk or optimize training loads. These models can be protected as trade secrets, provided they remain confidential and offer competitive value. Unlike copyright, which protects expression, trade-secret law protects commercially valuable information not publicly known.

A team’s internal dashboards, software interfaces, and custom visualization tools may also be protected under copyright as original works.

Confidential Technical Infrastructure

Teams often rely on access-restricted systems to store and analyze player data. These infrastructures may be legally protected through contracts, NDAs, and internal confidentiality policies. In practice, this is where most data-related “ownership” rights arise, even though they are not technically IP rights.

Privacy Law and Contract: The Real Source of Data Control

Since biometric data is highly sensitive personal information, privacy law, not IP law, does most of the work in governing its use.

PIPEDA and Sensitive Biometric Information

The Office of the Privacy Commissioner of Canada (OPC) classifies biometric identifiers and physiological data as inherently sensitive.⁴ Under PIPEDA, organizations must obtain meaningful consent for the collection, use, and disclosure of personal information.⁵

Teams and leagues must therefore inform players about what biometric data is collected, for what purposes it is used, how long it will be retained, and who has access to it.

Players also have a statutory right to access their own data and request corrections.⁶ Because biometric data relates closely to health information, organizations must apply heightened safeguards.

Unequal Bargaining Power and Contractual Rights

In practice, the team, rather than the player, often controls the biometric data system. Employment agreements, collective bargaining agreements, and team policies frequently contain provisions that authorize data collection and restrict disclosure. Players may lack meaningful bargaining power to refuse collection, especially if it is made a condition of play under league rules.

Thus, while players are the source of the data, teams exercise practical control.

Policy Implications and Commercial Realities

Potential Impact on Contract Negotiations and Player Mobility

Biometric data influences load-management decisions, injury projections, and conditioning programs. If teams have exclusive access to historical biometric trends, they hold a significant advantage in contract negotiations and trade decisions. Without clear regulatory limits, players risk being evaluated based on interpretations they cannot inspect or challenge.

Broadcast and Gambling Commercialization

There is growing commercial interest in using biometric data for enhanced broadcasts and sports-betting products. Real-time fatigue scores or exertion levels could theoretically be marketed to fans or gamblers. If such commercialization expands, Canadian law will need clearer rules on who can authorize such uses and whether players should receive compensation.

Need for Regulatory Clarity

The OPC’s recent guidance on biometric data emphasizes proportionality, purpose limitation, and minimal retention.⁷ However, Canada lacks a sports-specific legal framework. Given the sensitivity of biometric data and the power imbalance between athletes and sports organizations, legislative reform or sport-sector standards may be necessary.

Conclusion

In professional basketball, biometric data could become central to athletic performance, injury prevention, and competitive decision-making. Under Canadian law, raw biometric data is not protectable as intellectual property, as it consists of simple factual measurements. However, the interpretive frameworks built around that data, algorithmic models, curated databases, and analytical dashboards, may qualify as copyrightable works or trade secrets.

What really governs the data is privacy law and player contracts, not copyright or patents. PIPEDA treats biometric information as highly sensitive, but players often lack leverage to meaningfully negotiate how their data is collected or used. As biometric technologies become more deeply embedded in basketball operations and commercial products, Canadian lawmakers and sport governing bodies will need clearer standards to balance competitive innovation with athletes’ rights.

References

1. CCH Canadian Ltd v Law Society of Upper Canada, 2004 SCC 13.
   
2. Delrina Corp v Triolet Systems Inc (2002), 58 O.R. (3d) 339 (C.A.).
   
3. Toronto Real Estate Board v Commissioner of Competition, 2017 FCA 236.
   
4. Office of the Privacy Commissioner of Canada, “Sensitive Personal Information” (Interpretation Bulletin).
   
5. Personal Information Protection and Electronic Documents Act (PIPEDA).
   
6. OPC, “Individual Access to Personal Information” Guidance.
   
7. OPC, “Guidance on Processing Biometric Data in the Private Sector” (2024).

*Photo was created using GeminiPro. Shoutout to the GOAT, Lebron James, for his 41st birthday today.