How Sports Players Are Fighting Back Against Prediction Market Betting

Five major North American sports players unions have submitted a joint letter to the Commodity Futures Trading Commission (CFTC) — the federal agency that oversees futures and derivatives markets — asking for new rules to restrict betting on athlete performance and injuries. The letter came from the NFL, MLB, NBA, NHL, and MLS players associations in response to the CFTC's call for public input on how to regulate newer prediction market platforms like Kalshi and Polymarket.

The players unions specifically want to prevent people from wagering on things like whether the word "concussion" gets mentioned during a game broadcast. This is their strongest unified pushback yet against prediction markets — which are essentially betting platforms that let you place money on whether specific events will happen. Unlike traditional sports betting, which focuses on game outcomes, these platforms let you bet on much narrower details.

What is a Prediction Market?

Think of prediction markets as a hybrid between gambling and stock trading. Instead of buying shares in a company, you buy and sell contracts that pay out if a specific event occurs. For instance, you might buy a contract that pays $1 if a particular player commits two fouls in the first half. If that happens, your contract is worth money; if it doesn't, it becomes worthless. The platforms operate as derivatives markets — they trade contracts tied to real-world outcomes rather than direct bets on games.

The Regulatory Situation

The CFTC launched a formal process to write new rules for prediction markets after these platforms grew rapidly. The question at the center is who should regulate them: the CFTC, which oversees commodity derivatives, or state gaming regulators who oversee traditional sports betting. Traditional sportsbooks operate under state-by-state gambling licenses. Prediction market platforms argue they fall under federal commodity law instead.

According to comments filed with the agency, some observers say sports betting on prediction markets violates existing commodity law. Other filings point out that these platforms create demand for non-public information about athletes — things that insiders might know before the general public.

The Bay Mills Indian Community submitted comments arguing that sports wagering rules should stick with established gaming frameworks. Sports betting expert Dr. Laila Mintas also weighed in with technical analysis on the proposed rules.

The Leagues Themselves Are Split

Major sports leagues including the NBA, MLB, PGA Tour, and ATP Tour each filed their own concerns about prediction market risks: market manipulation, the flow of insider information, and potential harassment of athletes. They've asked the CFTC to let them help shape, approve, and monitor prediction markets tied to their sports.

But the leagues don't all agree on strategy. The NBA's executive vice president Dan Spillane wrote separately asking for stricter rules to keep players, referees, and team staff from participating in prediction markets. The NBA views prediction market integrity risks as similar to traditional sports betting risks.

By contrast, the MLB, NHL, and UFC have signed partnership agreements with prediction market platforms. This split reflects different judgments: some leagues see prediction markets mainly as a manipulation risk worth restricting, while others see them as a potential source of revenue worth embracing.

The Technical Challenge Ahead

Kalshi, one of the larger prediction market platforms, recently told the CFTC that it may soon offer contracts that bundle multiple outcomes together — making the markets more sophisticated and complex. This raises new questions for regulators about what should and shouldn't be allowed.

The core regulatory puzzle is whether prediction markets are something the CFTC should oversee like traditional commodity derivatives, or whether they're really a form of sports betting that should fall under gaming law. This is not an easy call: the technology is genuinely new, and existing legal categories were written before these platforms existed.

Having tracked the intersection of technology and regulated industries for decades, I've seen this pattern before. When cryptocurrency trading platforms emerged, they created similar confusion between securities regulation and commodity oversight — regulators had to retrofit old rules written for older markets onto new business models. The same dynamic is playing out here, only with sports betting rather than crypto.

The unified position from the players unions carries real weight. These are labor organizations with substantial collective bargaining power and legal resources, and their joint filing puts athlete safety and welfare front and center as distinct from what the leagues themselves want. That may shift how the CFTC thinks about the issue.

What Happens Next

The CFTC faces competing pressure. On one side, supporters of prediction markets argue they bring innovation to financial markets and shouldn't be heavily restricted. On the other, sports industry players and the unions emphasize protecting game integrity and athlete safety under rules that already exist.

The CFTC's eventual decision will set a precedent that extends beyond sports. Prediction markets covering corporate earnings announcements, election outcomes, or entertainment industry events face the same questions about fair access to information, market manipulation risk, and what regulatory approach makes sense.

Looking at the bigger picture, prediction markets have grown large enough that regulators can no longer ignore them or leave them unregulated. The question now is whether the final ruleset will allow these markets to keep expanding with light restrictions, or whether it will impose serious operational constraints. That will depend on how the CFTC weighs the benefits of innovation against the real risks to game integrity and athlete welfare.

The path forward will also shape how financial regulation handles other emerging technologies. How agencies handle prediction markets may influence how they approach future innovations that blur jurisdictional lines, which is worth watching.