A massive FBI operation that led to the arrest of an NBA player and coach last week has shaken both the sports and financial worlds. The incident comes as major leagues and betting platforms move deeper into prediction markets. In particular, the scandal has reignited the debate on the preparation of regulators to manage this new frontier of sports speculation.

In brief
- Major NBA betting scandal sparks fears of manipulation as prediction markets become more widespread.
- Experts warn that the CFTC lacks the staff and tools to monitor fast-growing sports prediction platforms.
- Self-regulated markets create risks of insider trading and weak enforcement against misconduct.
- Blockchain transparency offers promise but can also open new doors to insider activity and abuse.
Sports Leagues Fully Commit to Prediction Markets
The arrests mark one of the biggest recent sports betting scandals, with allegations of match manipulation to influence betting outcomes. The timing couldn't be more critical, as a day earlier, the NHL became the first major American sports league to sign a licensing deal with a prediction market platform.
Shortly after, sports betting giant DraftKings announced the acquisition of a prediction markets company, signaling the industry's move into the mainstream. Yet as professional leagues and betting houses embrace prediction markets, federal regulators now face the challenge of monitoring a rapidly expanding and increasingly complex ecosystem.
Experts warn that these platforms — some of which are decentralized — could become breeding grounds for insider trading. Others argue that the transparency inherent in blockchain technology could ultimately reduce breaches.
Prediction markets allow users to buy and sell contracts related to future events, such as sports or political outcomes. They are regulated not by state gambling commissions, but by the Commodity Futures Trading Commission (CFTC), a small federal agency traditionally charged with overseeing agricultural and financial derivatives.
Now, the CFTC finds itself responsible for overseeing not only prediction markets but much of the cryptocurrency industry — despite limited staff and funding. A former CFTC official called the agency position untenable.
I think the CFTC is going to be overwhelmed. You're going to see more cases of insider trading on these platforms because the CFTC doesn't do active monitoring — they don't have the manpower.
Former CFTC official
Unlike state gaming regulators, which maintain active oversight and cooperate closely with law enforcement, the CFTC relies heavily on whistleblowers and self-reporting from the companies it supervises. This system works for traditional goods but can fail in the fast-paced world of prediction markets and sports betting.
CFTC faces growing pressure to oversee new market
The agency's ability to adapt appears limited, as an uproar in its leadership has left it understaffed. At the same time, a broader government shutdown further slowed its operations.
The collapse of Brian Quintenz's nomination to lead the CFTC — following public disputes with crypto billionaires Tyler and Cameron Winklevoss — has only deepened the uncertainty. Critics opposed his proposal to increase the agency's budget, saying it would lead to “regulatory capture.”
Legal experts say the CFTC's lack of sport-specific rules represents a serious shortcoming. Daniel Wallach, an attorney specializing in sports and gaming law, explained that unlike state-level betting laws, federal merchandise rules provide no protection against insider activity in sports markets.
Regulatory Gaps Fuel Concerns About Insider Activity
Wallach added that, under CFTC oversight, prediction market platforms are largely self-regulating. They create and approve their own event contracts and conduct internal integrity checks — a setup he said presents clear risks to fair and transparent operations.
Why experts are worried:
- Regulatory gap: Prediction markets fall under federal commodity laws rather than state gambling laws.
- Limited Oversight: The CFTC lacks the manpower and tools to effectively detect insider trading.
- Rapid growth: The size and complexity of the market has outpaced the ability of regulators to adapt.
- Incentives for manipulation: Players or insiders could benefit from non-public information.
- Self-regulatory risks: Companies set their own integrity standards with minimal government oversight.
Despite these challenges, the prediction markets industry continues to grow at an unprecedented rate. Last week alone, trading volume on the four major platforms — Kalshi, Polymarket, Limitless and Myriad — soared to $2 billion. Analysts predict the sector will reach a value of $95 billion by 2035, with Kalshi and Polymarket tipped to dominate the market share.
Kalshi, which operates legally under the supervision of the CFTC, insists it has safeguards. A company spokesperson said Kalshi uses internal systems to report suspicious activity and partners with integrity company IC360. According to this spokesperson, the platform strictly prohibits insider trading and implements policies to prevent unfair market activities.
However, critics argue that without active government enforcement, even well-intentioned platforms will struggle to maintain fair play. Wallach noted that these for-profit operators face little direct oversight, allowing them to set and enforce their own rules — an arrangement that raises concerns about accountability and fairness.
Blockchain transparency in prediction markets: solution or new risk?
Meanwhile, proponents of blockchain-based prediction markets are highlighting transparency as a potential solution. Platforms like Polymarket record all transactions publicly on the blockchain, allowing anyone to track trades in real time.
Marcin Kazmierczak, co-founder of RedStone, an oracle network used by Polymarket, said this model provides a natural deterrent effect.
Transparency alone does not prevent insider trading, but it enables its detection at a scale and speed that traditional systems cannot match.
Marcin Kazmierczak
Coinbase General Counsel Paul Grewal echoed this view, arguing that on-chain prediction markets could better reveal and deter misconduct than traditional betting systems.
However, recent incidents have raised doubts. Earlier this month, users on Polymarket appeared to correctly predict the winner of the Nobel Peace Prize hours before the official announcement, sparking an investigation by Norwegian authorities. Polymarket did not condemn these exchanges; instead, she pointed to the controversy as proof of its predictive accuracy.
The company, which is now preparing to restart operations in the United States after previous CFTC action, declined to comment on its internal policies. Polymarket and Kalshi share a connection in the political sphere. Each company is advised by Donald Trump Jr., highlighting how prediction markets are deeply tied to power and influence.
Maximize your Tremplin.io experience with our 'Read to Earn' program! For every article you read, earn points and access exclusive rewards. Sign up now and start earning benefits.
