La Liga Team Bets $1 Million Against Themselves Before Match: Does Using Prediction Markets for Insurance Comply with Sports Regulations?

Foresight NewsPublicado a 2026-06-09Actualizado a 2026-06-09

Resumen

A Spanish La Liga club, reportedly Osasuna, purchased insurance against relegation and was linked to a transaction of over $1 million on the prediction market platform Kalshi, betting against its own victory in a crucial season-ending match. While Osasuna confirmed buying €1.2 million insurance for a potential €6 million payout in case of relegation through broker Howden, it did not confirm involvement with Kalshi. The reported trade involved intermediaries like Game Point Capital and Greenlight Commodities, with quant firm Susquehanna as the counterparty. This incident highlights the blurring line between financial hedging and gambling in prediction markets. Such markets allow trading on future event outcomes, like sports results. In the US, Kalshi operates as a regulated event contract market under the CFTC. However, Spanish authorities recently initiated penalties against Kalshi and Polymarket, considering their activities unlicensed gambling. The case raises core questions about prediction markets: who can trade, how insider information is handled, and whether participants can influence outcomes, especially in sports where results are human-driven. While leagues like La Liga and Serie A have partnered with Polymarket in North America, the regulatory clash and potential for conflicts of interest, as seen in this club's alleged transaction, present significant challenges as prediction markets evolve toward institutional risk management.


By: KarenZ, Foresight News


On May 23rd, Osasuna lost the match but avoided relegation from La Liga.


In the 38th and final round of the 2025-2026 Spanish Primera División season, Osasuna lost 0:1 to Getafe away. According to the club's own post-match announcement, they remained in La Liga because the draw between Elche and Girona meant the final standings ended in their favor. Osasuna will spend their eighth consecutive season in Spain's top-flight league.


Two weeks later, another financial page of this relegation battle was revealed: Osasuna officially admitted that the club had purchased relegation risk insurance through the insurance brokerage Howden, paying a premium of 1.2 million euros; if they were actually relegated, they would receive a payout of 6 million euros.


Another Ledger on Relegation Night


What truly propelled the incident into the center of the prediction market controversy was another link in the chain reported by the media.


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


On June 8th, Osasuna issued an official statement confirming the purchase of relegation insurance but emphasized the club's involvement was "strictly limited" to purchasing coverage from Howden. The same day, Protos linked the anonymous club in Semafor's report to Osasuna, while also noting that Osasuna's official documents only mentioned Howden, with no mention of Kalshi, Susquehanna, Game Point Capital, or Greenlight.


A more precise summary is: Osasuna confirmed buying relegation insurance; Semafor first reported that an anonymous La Liga team hedged relegation risk via Kalshi; Protos later linked the two, suggesting that club was Osasuna, though the full details of the transaction chain have not been officially confirmed by the club.


A relegation battle on the pitch, an insurance policy in the club statement, and an event contract about relegation risk in media reports. It is the overlap of these three narratives that makes the story so glaring.


Relegation Can Also Be Financialized


The fear of relegation among football clubs is nothing new.


Relegation takes away broadcast revenue, matchday income, sponsorship leverage, and player valuations. For small and medium-sized clubs, it's not just a single loss, but a downward spiral for their entire business model.


Osasuna's official explanation is also quite measured: purchasing coverage through Howden, a premium of 1.2 million euros, with a payout of 6 million euros upon relegation; La Liga was informed, and the club's auditors and the chairman of the control committee were notified.


What makes the matter particularly sharp is the unconfirmed transaction chain reported in the media.


According to Semafor's report, the related transaction chain featured several roles familiar to Wall Street: the sports insurance broker Game Point Capital managing risk for the team, Greenlight Commodities (originally a firm focused on renewable energy credits) facilitating institutional access to prediction markets, and the quantitative trading firm Susquehanna willing to take on the counterparty risk.


Game Point Capital CEO Will Hall told Semafor they wanted to see how prediction markets handle such "large, binary outcome" risks.


This is both the most fascinating and the most dangerous aspect of prediction markets. They can turn the world's uncertainties into prices. Wars, elections, interest rates, sports matches, weather, policy votes—all can be placed into a "yes or no" box. Proponents say it's more honest than pundits and faster than polls; critics see a different picture: real-world anxieties sliced into chips, information advantages turned into profits.


The Osasuna case is especially sensitive because the underlying asset is not oil prices, exchange rates, or some distant macroeconomic indicator, but whether a team falls from La Liga.


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


It touches on the core issues of prediction markets: when real-world events are financialized, who can trade, who possesses information, and who has the capacity to influence outcomes?


More difficult questions also emerge: How should the compliance of team insiders betting against their own team or buying positions linked to adverse outcomes for themselves be assessed? Even if the trade is packaged as insurance or hedging, as long as the underlying asset directly ties to match results and relegation fate, the market is unlikely to view it as a purely financial instrument.


When Prediction Markets Collide with Regulation


On May 26th, just three days after Osasuna secured safety, Spain's Ministry of Social Rights, Consumer Affairs and 2030 Agenda initiated sanctioning procedures against Polymarket and Kalshi, ordering the temporary blocking of the two platforms' websites in Spain as a precautionary measure pending final rulings in the cases.


The explanation from Spain's General Directorate for the Regulation of Gambling (DGOJ) is straightforward: prediction markets allow users to buy and sell shares related to future event outcomes, with prices reflecting the probability of different outcomes; under Spanish regulatory interpretation, this type of trading on uncertain future outcomes is considered to have a gambling nature, thus requiring specific administrative authorization to operate locally. The announcement also mentioned the process is expected to take 3 to 4 months.


Kalshi's status in the US is entirely different. It emphasizes being regulated by the CFTC as a Designated Contract Market, trading event contracts.


Interestingly, professional football is not just passively involved with prediction markets. In April 2026, La Liga proudly announced a multi-year cooperation agreement with Polymarket, making Polymarket its "official predictions partner" in the US and Canada. In May, Serie A USA also announced a multi-year regional partnership with Polymarket, making Polymarket the official and exclusive prediction market partner of Serie A in the United States.


At the same table, it's called a financial market in the US, and seen as unlicensed gambling in Spain and many other places. This identity fracture is the central conflict in the expansion of prediction markets.


The Web3 circle is no stranger to such grey zones. Polymarket pushed prediction markets into the mainstream spotlight during the US elections. Many began to believe market prices could reveal the truth earlier than experts.


But the Osasuna incident pushes the issue a step further. Prediction markets are no longer just a way for retail users to observe the world; they are beginning to approach institutional risk management. When insurance brokers, sports advisors, intermediaries, and quantitative trading firms appear together, it's no longer just about "users placing bets."


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


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


The sports field is especially tricky because match outcomes don't stem from natural laws, but from people. Players, coaches, management, referees, injuries, tactics, and psychological pressure can all alter the result.

Criptos en tendencia

Preguntas relacionadas

QWhat is the core controversy surrounding the Osasuna case according to the article?

AThe core controversy is that Osasuna reportedly purchased relegation insurance, and media reports suggest a related party placed a bet of over $1 million on a prediction market (Kalshi), effectively betting *against* the team winning a crucial match. This intertwines a sporting outcome with financial hedging, raising questions about market integrity, insider information, and the ethical and regulatory boundaries of using prediction markets for such purposes.

QHow did Spanish regulators view prediction markets like Kalshi and Polymarket in this context?

ASpanish regulators, specifically the General Directorate for Gambling Regulation (DGOJ), view such prediction markets as having a gambling nature. They initiated sanctioning procedures against Kalshi and Polymarket and ordered a temporary block on their websites in Spain, stating that trading on uncertain future events requires a specific license, which these platforms did not possess.

QWhat was Osasuna's official statement regarding their financial arrangements for relegation risk?

AOsasuna's official statement confirmed that the club purchased relegation risk insurance through the insurance broker Howden, paying a premium of 1.2 million euros for a potential payout of 6 million euros if relegated. The club emphasized its involvement was 'strictly limited' to this insurance purchase and stated that La Liga and its internal auditors were informed.

QAccording to the article, what is the key difference in how prediction markets are treated in the US versus Spain?

AIn the United States, platforms like Kalshi operate under the oversight of the Commodity Futures Trading Commission (CFTC) as a designated contract market, framing their products as 'event contracts' within a financial regulatory framework. In Spain and similar jurisdictions, the same activities are classified as gambling, requiring a different set of licenses and facing potential blocks if unauthorized.

QWhat broader implication does the Osasuna case highlight for the future of prediction markets?

AThe case highlights that prediction markets are evolving from platforms for retail speculation to tools for institutional risk management. This growth necessitates confronting fundamental financial market questions: defining who can trade, managing insider information, preventing outcome manipulation, and ensuring overall market integrity, especially in sensitive areas like sports where human agency determines results.

Lecturas Relacionadas

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Following the collapse of Huione Pay—dubbed the "Alipay of Southeast Asia"—seven months ago, the region's underground financial guarantee platform sector is undergoing a significant reshuffle. This power vacuum has been swiftly filled by emerging platforms such as XinBi, Tiger/Navigator, JinBei (renamed JinBo), Dali/Tiancheng, and FullyLight. These platforms, operating largely via Telegram and offering services like escrow for illicit transactions, have absorbed the vast user base and markets left behind by Huione. While positioning themselves as "trust intermediaries," their primary clientele consists of networks involved in online scams, money laundering, illegal gambling, and even human trafficking. For instance, the Tiger/Navigator platform explicitly provides "escrow" services for kidnapping-for-ransom operations ("强押车交易"). Data underscores the immense scale: Huione alone processed over $103 billion in cryptocurrency payments and facilitated over $31 billion through its escrow market before its downfall, linking it to Cambodia's notorious Prince Group. Since its collapse, competitors have seen explosive growth. For example, the XinBi platform has accumulated over $1.6 billion in total USDT revenue, while platforms like NewPay, OkPay (under Dali), and FullyLight Wallet collectively processed over $4.8 billion in USDT in a single year. This ecosystem thrives in regions like Cambodia and Myanmar, where regulatory gaps allow these platforms to act as critical financial infrastructure for sprawling cybercrime industries, from scam compounds to online casinos. The article concludes that the moniker "Southeast Asian Alipay" is a misnomer, obscuring the platforms' fundamental role in enabling serious criminal enterprises rather than representing legitimate financial innovation.

Odaily星球日报Hace 59 min(s)

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Odaily星球日报Hace 59 min(s)

The Changing Landscape: What Are Crypto VCs Experiencing?

Title: The Shifting Landscape of Crypto Venture Capital The era of dedicated crypto venture capital funds is undergoing a significant transformation. Once essential for navigating the sector's complexity and high risk, these specialized funds are now facing an identity crisis as the market matures. This shift mirrors historical patterns in other specialized investment classes like cleantech and SPACs, where initial information advantages dissipate as technologies become mainstream and integrated into existing industry frameworks. The article argues that crypto is reaching a critical inflection point, transitioning from a "building phase" to an "integration phase." Major players like Stripe, BlackRock, and Visa now engage with crypto not for its novel mechanics but as a foundational financial infrastructure. Their needs—regulatory compliance, banking partnerships, distribution channels—align with traditional fintech, a domain easily understood by large, generalist funds like Sequoia and Founders Fund. This evolution creates a "barbell effect" within the VC landscape. On one end are massive, diversified platforms that can incorporate crypto as one vertical among many. On the other are small, nimble funds focused on niche, experimental projects. The middle ground—medium-sized dedicated crypto funds—is being squeezed out. Their typical fund size makes it impossible to generate sufficient returns solely from early-stage crypto bets, yet they cannot compete with giants for later-stage deals. Consequently, leading crypto-native firms like Paradigm and Framework Ventures are expanding into AI, robotics, and other sectors, driven partly by LP pressure for better returns amid a broader VC DPI crisis. Others, like Dragonfly and a16z, have narrowed their crypto focus predominantly to financial infrastructure like stablecoins, reframing the sector's core narrative. For crypto entrepreneurs, this consolidation presents challenges. While generalist funds offer larger checks and broader resources, crypto projects now compete fiercely with AI for attention and capital within these firms. Furthermore, the long-term, non-commercial foundational work that built the ecosystem—funded by dedicated crypto VCs—is less likely to attract generalist capital focused on direct returns. The conclusion is that "crypto investor" as a standalone category is becoming obsolete, akin to "internet investor." Crypto is becoming a baseline infrastructure layer. The future will see a barbell structure: large-scale growth financing handled by generalist funds, while pioneering, speculative projects are funded by small, specialized vehicles. The dedicated crypto funds of the 2017-2021 boom, which incubated core infrastructure, are giving way to this new, bifurcated reality.

Foresight NewsHace 1 hora(s)

The Changing Landscape: What Are Crypto VCs Experiencing?

Foresight NewsHace 1 hora(s)

As Consensus Accelerates, What Are Young Investors Betting On?

Title: As Consensus Forms Faster, What Are Young Investors Betting On? In the rapid evolution of tech investment, a new generation of young investors is navigating a landscape where AI, robotics, commercial aerospace, and quantum computing are advancing simultaneously. Traditional investment logic based on financial models is giving way to a need for deep technical understanding and the ability to act before industry consensus forms. An analysis of trends from the "WAIC FUTURE TECH" list of young investment leaders reveals key shifts in focus. The first major trend is the movement of AI from the digital screen into the physical world. Investment is shifting from large language models and chatbots towards embodied AI, robotics, AI hardware, and edge computing. While demonstrations generate excitement, the real challenge lies in achieving scalable, reliable, and cost-effective delivery in complex real-world environments like factories and logistics. Success depends not just on algorithms but on the integration of sensors, actuators, and control systems. Second, the competitive focus for large models is moving beyond raw capability toward building an "intelligence flywheel." The goal is to create self-reinforcing systems where user interaction generates data, improving the model, which in turn enhances the user experience and attracts more engagement. Companies that successfully embed AI into workflows to create these closed-loop systems can build lasting value that isn't easily erased by the next model upgrade. Third, facing a potential bottleneck in high-quality human-generated data, investors are looking at new underlying technologies. Reinforcement learning and self-play, as demonstrated by AlphaGo Zero, offer paths for AI to generate its own experience. Scientific foundation models, which aim to build general AI capabilities for fields like life sciences and materials discovery, represent a non-consensus direction that could unlock new frontiers of knowledge and data. Finally, in deep-tech areas like quantum computing, commercial aerospace, and space-based infrastructure, patient capital is essential. These fields have long, uncertain development and validation cycles involving complex engineering, supply chains, and regulations. Investment here requires a long-term view, focusing on foundational team capabilities and the eventual emergence of market demand, even if commercial returns are distant. Collectively, these trends illustrate how young investors are adapting to a new era. They are learning to make earlier, technically-informed judgments, balance hype with real-world viability, and provide the patient capital needed to build the deep-tech foundations of the future.

marsbitHace 1 hora(s)

As Consensus Accelerates, What Are Young Investors Betting On?

marsbitHace 1 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar LA

¡Bienvenido a HTX.com! Hemos hecho que comprar Lagrange (LA) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Lagrange (LA) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Lagrange (LA)Después de comprar tu Lagrange (LA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Lagrange (LA)Tradear fácilmente con Lagrange (LA) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

266 Vistas totalesPublicado en 2025.06.04Actualizado en 2026.06.02

Cómo comprar LA

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de LA (LA).

活动图片