Who Owns an Athlete’s Data?

Modern athletes produce extraordinary amounts of data simply by doing their jobs. A wearable can measure heart rate, workload, acceleration, sleep, recovery, movement, and exercise patterns. Training systems can record how an athlete moves, how quickly fatigue develops, and how performance changes over time. Teams collect that information because it can help improve performance, manage workload, and reduce injury risk.

For most athletes, that exchange probably feels relatively ordinary. Wear the device, complete the training session, review the results, and prepare for the next game.

But there is a question hidden inside that routine that sports have not fully resolved: who owns the information an athlete's body produces?

The answer is becoming more important as athlete data becomes more detailed and potentially more valuable. Information initially collected to improve performance can influence roster decisions, contract negotiations, injury assessments, recruiting, scouting, and eventually commercial products. A dataset built around an athlete's body can remain useful long after the training session that produced it has ended.

Yet athletes may not think about that information in the same way they think about their salary, contract rights, or name, image, and likeness.

That may be beginning to change.

Virginia recently enacted protections specifically addressing college athletes' biometric data. The law covers physiological, biological, and behavioral information and expressly includes certain sleep, health, and exercise data. Colleges cannot disclose a student-athlete's biometric data outside the institution without prior written consent. It also prevents rights to that data from simply being folded into an NIL agreement without separate consent from the athlete.

The significance of the law extends beyond Virginia.

It recognizes something sports regulation has been relatively slow to confront: athlete data is not merely information about performance. It can also be personal information, an economic asset, and a source of institutional power.

Those categories are easy to blur because the original reason for collecting the data is often beneficial to the athlete. A team monitoring workload may identify when a player needs additional recovery. Sleep information can help explain changes in performance. Movement data can reveal mechanical issues before they develop into more significant injuries.

Athletes have strong reasons to participate in those systems.

The regulatory problem begins when consent to collection is treated as consent to every future use.

An athlete agreeing to wear a performance tracker during training may reasonably expect the resulting information to be used by coaches, medical staff, or performance specialists. That does not necessarily mean the athlete expects the data to be used in contract negotiations, retained after leaving the organization, transferred to another company, incorporated into a commercial product, or eventually made available to broadcasters or betting markets.

Those are different uses carrying different consequences.

Sports need to become better at distinguishing between them.

The first distinction is between access and ownership. A team may need access to performance information in order to train an athlete effectively. That does not automatically answer whether the organization should own the resulting data or have unlimited rights to use it.

The difference becomes clearer when the employment relationship ends.

Imagine an athlete spends five years with one organization while wearing performance-monitoring technology almost every day. Over that period, the team builds an unusually detailed record of the athlete's body: normal workload, recovery patterns, movement efficiency, sleep trends, physical decline, injury history, and responses to different types of training.

Then the athlete leaves.

Who should keep that information?

The former team may have paid for the technology, employed the performance staff, and created the infrastructure that collected and analyzed the data. From its perspective, the dataset may be part of the institutional knowledge developed during the athlete's time with the organization.

But the information describes someone else's body.

That makes athlete data different from many other forms of information generated in a workplace. An employee might contribute to a company's database or create intellectual property using company resources, but biometric information can reveal characteristics that remain personally attached to the individual regardless of where they work.

The athlete cannot leave those characteristics behind when changing teams.

This creates another question: should athletes have a right to take their data with them?

Portability is rarely the first issue discussed when people think about athlete privacy, but it could become increasingly important. If years of performance information can help a team understand how an athlete responds to training, manages fatigue, or recovers from injury, the athlete may benefit from carrying that history to a new organization.

Without portability, an unusual imbalance can develop. The former employer may retain the most sophisticated record ever created of an athlete's physical performance while the athlete moves elsewhere without full control over the same information.

That seems increasingly difficult to justify as data becomes more valuable.

Consent creates another complication.

Sports organizations can say that athletes agree to monitoring, and in many cases they do. But consent within an employment or collegiate environment is not always as straightforward as clicking an optional setting in a consumer application.

If every player on a team wears a particular tracking device during training, how realistic is it for one athlete to refuse? If coaches rely on workload data when making decisions, does opting out place the athlete at a competitive disadvantage? If access to sports science and recovery programs depends on participation, is consent genuinely optional?

None of those questions means biometric monitoring should stop. The technology can provide substantial benefits to athletes and organizations. They do suggest that simply obtaining a signature may not resolve every question about how the resulting information should be used.

The more useful regulatory approach is to separate purposes.

Data collected for medical treatment should have protections appropriate to medical information. Data collected for performance analysis may reasonably be available to coaches and training staff. Data used in employment decisions raises different concerns. Data sold or licensed commercially should require a different level of consent again.

The same dataset should not automatically carry the same permissions everywhere it travels.

This becomes particularly important as athlete data develops commercial value.

Professional sports increasingly sell access to information. Broadcasts incorporate advanced statistics and tracking graphics. Fantasy sports depend on increasingly detailed performance metrics. Betting markets place financial value on information that can predict how an athlete or team will perform. Technology companies build products around sports analytics.

Biometric data could make those markets significantly more sophisticated.

Imagine a broadcast showing an athlete's live heart rate late in a game. A fantasy product incorporating fatigue indicators. A betting market responding to real-time workload data. A video game adjusting a player's digital performance using physiological information gathered during actual competition.

Some athletes might willingly participate in those products, particularly if they are compensated.

The important question is whether participation should be assumed simply because the underlying information was originally collected by a team.

There is a meaningful difference between measuring an athlete to improve performance and monetizing the measurement.

That distinction becomes even more important when data can affect the athlete economically in ways they may never see.

A team evaluating a contract could use years of workload and recovery information to estimate how quickly a player is likely to decline. A prospective employer could place greater weight on biometric indicators than on traditional medical evaluations. An insurer or commercial partner might eventually find value in similar information.

Data intended to help athletes perform can therefore become data used to price them.

That possibility changes the power relationship surrounding collection.

Teams already know considerably more about athletes than athletes know about teams. They have coaches, analysts, medical staff, performance departments, scouts, and increasingly sophisticated technology systems. Athlete data adds another layer to that informational advantage.

This is why ownership alone may not be enough.

Even if regulation formally says an athlete owns biometric data, the practical value of that right depends on whether the athlete can access it, understand it, restrict its use, transfer it, and know who else has received it.

A right that exists only in a contract an athlete rarely reads is not particularly meaningful.

Professional sports have already begun addressing some of these questions through collective bargaining. Certain leagues place restrictions on wearable use and on how biometric information can be used against players. That demonstrates the value of organized representation: athletes can negotiate rules collectively rather than individually confronting organizations with far greater bargaining power.

College athletes occupy a more complicated position.

They increasingly participate in a commercial sports economy but generally do not have the same collective bargaining structure available to professional players. At the same time, universities have strong incentives to adopt sophisticated performance technology as recruiting, development, and competitive tools.

Virginia's approach is therefore notable because it establishes rights before an athlete has to negotiate for them individually. An institution cannot disclose covered biometric information outside the university without written permission, and rights to that information cannot simply become another provision buried inside an NIL agreement.

Other jurisdictions may eventually face similar questions.

The issue will become more urgent as artificial intelligence increases the value of large datasets. A single heart-rate reading may reveal relatively little. Years of combined movement, workload, sleep, injury, and performance information across thousands of athletes could be much more valuable.

Those datasets could help predict injury, identify talent, optimize training, or estimate career longevity. They could also produce models that influence which athletes receive opportunities and how much organizations are willing to pay them.

At that point, athlete data is no longer simply a sports-science tool.

It becomes infrastructure.

And the organizations controlling that infrastructure gain power over the people whose bodies generated it.

That is why this issue deserves attention before the most valuable uses of athlete data become routine. Sports regulation has repeatedly struggled when commercial markets develop faster than the rules governing them. NIL is one example. Sports betting is another. By the time regulators recognize how valuable a new market has become, the institutions benefiting from the existing structure already have strong incentives to preserve it.

Athlete data does not need to follow the same pattern.

Teams should be able to use technology to improve performance and protect athletes. Researchers should be able to develop better methods for understanding injury and recovery. Athletes themselves may want to commercialize information about their performance.

None of those objectives requires treating every piece of information generated by an athlete's body as an asset belonging automatically to the organization that happened to collect it.

The more sensible starting point is that different uses require different rights.

Athletes should know what information is being collected, why it is being collected, who can access it, how long it will be retained, and whether it can be transferred or sold. They should be able to access meaningful records about their own bodies and understand when information collected for one purpose is being proposed for another.

Most importantly, commercial use should be treated as a separate decision rather than an automatic extension of performance monitoring.

Athletes may not think much about these questions today. That is understandable. Their immediate concern is usually whether technology can help them recover faster, train better, or stay on the field.

But the value of the information being produced around them is growing.

Sports organizations have become remarkably sophisticated at measuring athletes. Regulation now has to become equally sophisticated at determining what happens to those measurements afterward.

Because eventually the most valuable asset an athlete produces may not only be the performance people see.

It may be the data their body generates while producing it.

*Photo courtesy of STATSports