Is it compliant with sports regulatory rules for La Liga teams to personally bet 1 million dollars before a match and use prediction market configurations for insurance?

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Buy yourself relegation for a million dollars? This La Liga team narrowly survived relegation on the field but became a "major grievance" in the prediction market.

Written by: KarenZ, Foresight News

On May 23, Osasuna lost a match but did not drop out of La Liga.

In the final match of the 2025-2026 La Liga season, Osasuna lost 0:1 to Getafe away from home. According to the club's post-match report, it stayed in La Liga because Elche and Girona drew, with the standings aligning favorably for them. Osasuna will remain in the Spanish top league for the eighth consecutive season.

Two weeks later, another page of the relegation story was revealed: Osasuna officially admitted that the club had purchased relegation risk insurance through insurance brokerage Howden, with a premium of €1.2 million; if relegated, they could receive a payout of €6 million.

Another page of the relegation night accounts

What pushed the incident to the center of prediction market controversy was another chain revealed in media reports.

On June 4, according to an exclusive report by Semafor, an unnamed party related to a Spanish club placed a bet of over $1 million on the prediction market platform Kalshi, wagering that they would not win a key match at the end of the season. Intermediaries such as Game Point Capital and Greenlight Commodities appeared in the transaction path. The counterparty was reportedly the quantitative trading firm Susquehanna, which earned over $1 million.

On June 8, Osasuna released an official statement confirming that they purchased relegation risk insurance but emphasized that the club's involvement was "strictly limited" to purchasing coverage from Howden. On the same day, Protos indicated that the anonymous club mentioned in the Semafor report referred to Osasuna, while also clarifying that Osasuna's official documents only mentioned Howden and did not mention Kalshi, Susquehanna, Game Point Capital, or Greenlight.

The more accurate statement is: Osasuna confirmed they bought relegation insurance; Semafor initially reported that an anonymous La Liga team was hedging relegation risks through Kalshi; Protos later connected the two, believing that the club was Osasuna, but the complete details of the transaction chain have not been confirmed by the club's officials.

On the field was a relegation battle, while in the club's statement was an insurance policy, and in media reports appeared an event contract regarding relegation risk. The overlap of these three elements made the story striking.

Relegation can also be financialized

Football clubs fear relegation, and this is nothing new.

Relegation can take away broadcasting revenue, ticket sales, sponsorship negotiation power, and player valuations. For medium and small clubs, it is not just a single failure but a collapse of an entire business model.

Osasuna's official statement was also quite restrained: purchasing coverage through Howden, with a premium of €1.2 million and a payout of €6 million in the event of relegation; La Liga was informed, and the club's auditor and the chairman of the control committee were also notified.

What truly sharpened the issue was the transactional chain in media reports that had not been confirmed by the club.

According to Semafor’s report, several familiar roles from Wall Street appeared in the related transaction chain: sports insurance broker Game Point Capital, which does risk management for the team; Greenlight Commodities, which assists institutions to enter the prediction market (originally an agency focusing on renewable energy credits); and the quantitative trading company Susquehanna, which is willing to take on counterparty risks.

Game Point Capital CEO Will Hall told Semafor that they wanted to see how the prediction market handles this kind of "large, binary outcome" risk.

This is the most fascinating aspect of prediction markets, but also the most dangerous. It can turn the uncertainties of the world into prices. Wars, elections, interest rates, sports matches, weather, and policy votes can all fit into a "yes or no" box. Supporters say this is more honest than commentators and faster than polls; critics see a different picture: the anxieties of the real world are cut into chips, and information advantages become profits.

The Osasuna incident is particularly sensitive because the subject is not oil prices, exchange rates, or some distant macro indicator, but whether a team will drop out of La Liga.

Players struggle on the pitch, fans pray in the stands, while another group calculates how much relegation is worth.

It touches upon the core question of prediction markets: when real-world events are financialized, who can trade, who has information, who has the ability to influence outcomes?

More challenging questions follow: if stakeholders truly short-sell their own team, or take positions related to unfavorable outcomes for themselves, how should compliance be addressed? Even if the transaction is packaged as insurance or hedging, as long as the subject directly anchors to match results and relegation fate, it is difficult for the market to see it merely as a financial tool.

When prediction markets collide with regulation

On May 26, just three days after Osasuna's relegation battle, Spain's Ministry of Social Rights, Consumer Affairs, and the 2030 Agenda initiated a penalty procedure against Polymarket and Kalshi, and demanded the temporary blocking of the two platforms' websites in Spain as a precaution before the final ruling of the case.

The explanation from the Spanish Gambling Regulatory Authority (DGOJ) was straightforward: prediction markets allow users to buy and sell shares related to future event outcomes, with prices reflecting the probabilities of different outcomes occurring; under the Spanish regulatory context, such transactions targeting uncertain future outcomes are considered gambling in nature, thus requiring specific administrative licenses to operate locally. The announcement also mentioned that the relevant procedures are expected to take 3 to 4 months.

Kalshi's standing in the United States is entirely different. It emphasizes that it is regulated by the CFTC, designated as a contract market, trading event contracts.

Interestingly, professional football is not only passively involved in prediction markets. In April 2026, La Liga announced a high-profile multi-year partnership with Polymarket, making Polymarket its "official prediction market partner" in the US and Canada. In May, Serie A USA also announced a multi-year regional partnership with Polymarket, making it the official and exclusive prediction market partner for Serie A in the US.

The same table, referred to as a financial market in the US, is viewed as unlicensed gambling in Spain and other places. This identity fracture is the most central conflict in the expansion of prediction markets.

The Web3 community is no stranger to this gray area. Polymarket brought prediction markets into the public eye during the US elections. Many began to believe that market prices could reveal the truth earlier than experts.

However, the Osasuna incident pushed the issue a step further. Prediction markets are no longer just a way for retail investors to observe the world; they are getting closer to institutional risk management. When insurance brokers, sports consultants, intermediaries, and quantitative trading firms appear together, the issue is no longer as simple as “users placing bets.”

This might be the moment when prediction markets truly grow up, and also the moment they are most in need of constraints.

If it is to become financial infrastructure, it must answer the oldest questions of financial markets: who can trade, who has insider information, who possesses the ability to influence results, and who is responsible for market integrity.

The sports field is particularly tricky, as match outcomes do not arise from natural laws but from people. Players, coaches, management, referees, injuries, tactics, and psychological pressure can all change the results.

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