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

Foresight News發佈於 2026-06-09更新於 2026-06-09

文章摘要

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.

熱門幣種推薦

相關問答

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.

你可能也喜歡

少投入不是苹果的免死金牌

《少投入不是苹果的免死金牌》一文指出,虽然苹果在AI浪潮中因资本开支克制而一度受到市场青睐,但其面临的挑战正在显现。 文章首先描述了市场的反差:当Meta、谷歌等巨头因巨额AI投入引发担忧时,苹果在AI领域的迟缓进展反而被视为“亮点”,其股价一度上涨。然而,这种“全靠同行衬托”的领先难以持续。 随后,文章分析了苹果最新财报。尽管2026财年第三财季营收与净利润均创同期历史新高,主要得益于iPhone和Mac的强劲销售,但财报发布后股价却大幅下跌。原因在于苹果对下一季度的增长指引低于市场预期。 核心问题在于供应链。AI热潮导致内存和芯片需求激增、价格上涨及产能紧张,严重波及苹果。其Mac产品线已因高端芯片供应不足而受限,并被迫提价。外界预测iPhone新品也将大幅涨价,这可能影响未来销量。为应对供应链风险,苹果库存大幅增加,并寻求与中企合作采购内存芯片,但此举面临政治阻力。 与其他科技巨头动辄数千亿美元的AI资本开支相比,苹果的资本开支不仅未增,反而下降,这使其保持了健康的现金流。但同时,苹果研发费用大幅增长,却未能在AI领域取得显著成果,形成反差。 文章总结,苹果虽未在AI烧钱竞赛中陷得太深,却无法避免由这场竞赛引发的供应链与成本冲击。即将卸任的库克对公司未来表示信心,但苹果能否在AI时代保持领先,仍存疑问。

marsbit13 分鐘前

少投入不是苹果的免死金牌

marsbit13 分鐘前

一周精选丨股市史诗级震荡,长鑫科技上市重塑存储格局,Saylor目标9月8日前后推动STRC回锚

PANews精选一周要闻。AI领域热度持续,智能体钱包成为加密支付新战场,Coinbase等巨头布局小额支付以抢占AI经济入口。韩国股市经历剧烈震荡,多次熔断并引发清算风暴,科技股暴跌堪比币圈行情。算力产业进入系统化竞争阶段,国产GPU与AI智能体(Agent)结合成为焦点。 宏观方面,长鑫科技上市后市值巨大,在经历长期亏损后单季度盈利显著。花旗银行预警未来大宗商品市场可能出现的极端风险。美联储维持利率不变,但内部出现罕见分歧,释放鹰派信号。 机构观点显示,有分析认为当前AI板块调整是去杠杆过程,长期牛市逻辑不变。中国散户在传统投资渠道收窄后,正转向加密资产等新途径。市场讨论未来货币形态,比特币价值受关注。比特币矿企被指出需向能源综合服务商转型。 市场热点包括NFT交易通过“抽卡”等新玩法激活流动性,但部分加密协议面临收入增长与代币价格脱钩的问题。RWA(真实世界资产)链上规模增长但利用率不足。以太坊公布2030年长期发展蓝图,Lido也进行了大规模升级。 行业动态方面,新银行领域面临洗牌,稳定币竞争加剧。重点资讯包括:美股收涨,Coinbase股价波动;MicroStrategy增持比特币并计划推动STRC回锚;多家AI与加密公司获得融资;韩国股市与长鑫科技股价出现大幅波动;巨鲸交易员在AI相关交易中获利了结。

marsbit53 分鐘前

一周精选丨股市史诗级震荡,长鑫科技上市重塑存储格局,Saylor目标9月8日前后推动STRC回锚

marsbit53 分鐘前

当市场开始质疑AI资本开支:五家科技巨头Q2财报全解析

2026年7月下旬,谷歌、英特尔、微软、Meta、苹果五家科技巨头相继发布第二季度财报。尽管各家营收和利润普遍超预期,且AI相关业务(如谷歌云、英特尔数据中心、Azure)增长强劲,但市场反应出现显著分化,焦点已从需求转向资本开支与现金流回报。 **谷歌**营收创十二季度双位数增长纪录,云业务同比大增82%,但资本支出同比翻倍至449亿美元,并上调全年指引,导致上市以来首次录得负自由现金流,股价下跌。 **英特尔**营收创十五年来最强增速,数据中心与AI业务表现突出,但因大幅上调资本支出指引引发对自由现金流的担忧,股价经历“过山车”式反转。 **微软**业绩超预期,Azure年收入首破千亿美元,同时通过会计调整下调资本支出指引并承诺正自由现金流,股价创十八年来最佳单日表现。 **Meta**广告业务稳健,营收增长28%,但因成本费用大增55%及资本开支指引上调,自由现金流同比萎缩逾90%,遭遇猛烈抛售。 **苹果**营收利润创同期新高,但下一季度营收指引上限低于预期,叠加供应链瓶颈担忧,股价大跌,市值单日蒸发超3000亿美元。 总结而言,本财报季显示AI需求依然强劲,但市场对巨额资本开支何时转化为实际回报的耐心正在消耗。各公司对资本开支节奏与现金流前景的表述,已成为影响股价的关键因素。

Odaily星球日报1 小時前

当市场开始质疑AI资本开支:五家科技巨头Q2财报全解析

Odaily星球日报1 小時前

交易

現貨

熱門文章

如何購買LA

歡迎來到HTX.com!在這裡,購買Lagrange (LA)變得簡單而便捷。跟隨我們的逐步指南,放心開始您的加密貨幣之旅。第一步:創建您的HTX帳戶使用您的 Email、手機號碼在HTX註冊一個免費帳戶。體驗無憂的註冊過程並解鎖所有平台功能。立即註冊第二步:前往買幣頁面,選擇您的支付方式信用卡/金融卡購買:使用您的Visa或Mastercard即時購買Lagrange (LA)。餘額購買:使用您HTX帳戶餘額中的資金進行無縫交易。第三方購買:探索諸如Google Pay或Apple Pay等流行支付方式以增加便利性。C2C購買:在HTX平台上直接與其他用戶交易。HTX 場外交易 (OTC) 購買:為大量交易者提供個性化服務和競爭性匯率。第三步:存儲您的Lagrange (LA)購買Lagrange (LA)後,將其存儲在您的HTX帳戶中。您也可以透過區塊鏈轉帳將其發送到其他地址或者用於交易其他加密貨幣。第四步:交易Lagrange (LA)在HTX的現貨市場輕鬆交易Lagrange (LA)。前往您的帳戶,選擇交易對,執行交易,並即時監控。HTX為初學者和經驗豐富的交易者提供了友好的用戶體驗。

627 人學過發佈於 2025.06.04更新於 2026.06.02

如何購買LA

相關討論

歡迎來到 HTX 社群。在這裡,您可以了解最新的平台發展動態並獲得專業的市場意見。 以下是用戶對 LA (LA)幣價的意見。

活动图片