足球平局收割巨鲸:Polymarket 世界杯上演极致盈亏分化

Foresight NewsPublished on 2026-06-18Last updated on 2026-06-18

Abstract

在Polymarket预测市场上,世界杯赛事正上演巨额盈亏分化。西班牙对阵佛得角的比赛中,尽管西班牙占据绝对优势,但最终0:0战平。这一结果使得一位名为fishalive的新用户以约40万美元本金,通过押注“西班牙无法取胜”和佛得角受让盘口,狂揽近900万美元收益。与此同时,多名重仓押注西班牙、荷兰、比利时等热门球队取胜的交易者则损失惨重,其中单笔亏损最高达860万美元。 文章指出,足球平局常见,但许多大额交易者集中于“仅球队取胜”类合约,这类合约在平局时价值归零,风险极高。而像受让盘或“球队无法取胜”等包含平局可能性的合约,则能带来不对称的高收益。本届世界杯期间,Polymarket相关交易总额巨大,单场比赛交易额可达数千万美元,实时盈亏记录易于传播,推动了预测市场破圈。 随着赛事进行,预计大额投注行为可能趋于谨慎,资金将更多转向对冲平局风险的合约。同时,监管压力也在增大,美国等地正就此类预测合约是否属于赌博进行争论,监管环境的不确定性可能影响市场未来发展。


撰文:Gino Matos

编译:Saoirse,Foresight News


6 月 14 日西班牙对阵佛得角的比赛中,西班牙控球率接近 75%,轰出 27 脚射门 —— 这样的数据放在绝大多数赛事里,胜利都毫无悬念。但最终比分定格在 0 比 0,佛得角 40 岁门将 Vozinha 拿下全场最佳球员。这场平局让 Polymarket 上一众投注者损失惨重,同时让一个不知名钱包单日狂揽约 900 万美元收益。


该钱包所属账户名为 fishalive,2026 年 6 月才注册 Polymarket,公开记录里仅有两笔预测投注。该账户押注「西班牙无法取胜」的合约,兑付收益约 470 万美元;同时押注佛得角受让 2.5 球盘口(体育博彩里用来平衡强弱两队赔率的规则,给佛得角手动加上 2.5 个进球再比总分),再斩获约 850 万美元收益。他仅投入约 40 万美元本金,最终净赚近 900 万美元。


Polymarket 体育板块的数据显示,这笔 40 万美元投注的初始赔率仅 9%,最终兑付金额达 4702769.23 美元。这笔投注的金额、下注时间,再加上账户刚注册的背景,在网络上引发大量讨论。有评论者指出,价值 450 万美元的仓位是在比赛开赛前 8 分钟才完成建仓。


这个全新注册的钱包精准预判了佛得角的取胜概率,而平台完整公开的链上账本,让所有人能实时看到这笔巨额收益到账的全过程。


持仓与收益数据一览:



仅世界杯冠军单一交易市场,Polymarket 的成交额就达到 24.6 亿美元。市场赔率中,法国夺冠预期领跑,占比约 17.6%;西班牙紧随其后,占 13.9%;葡萄牙、英格兰差距不大,分别为 10.8%、10.5%。冠军合约将在 7 月 20 日左右结算。Polymarket 表示,2026 世界杯全品类共计 362 个活跃交易市场,总成交额突破 25 亿美元。


庞大的交易规模让单场足球比赛都成为独立的金融交易事件,仅西班牙对阵佛得角这一场,平台交易总额就达到 6400 万美元。


热门球队接连爆冷,投注者大面积亏损


一位名为 betoor619 的交易者押注西班牙取胜,隐含赔率高达 92%。他投入近 100 万美元本金,潜在收益仅 8.5 万美元,而这场平局直接让这笔仓位彻底归零。


早在几天前,Polymarket 体育板块就记录过同类操作:另一名用户投入 100 万美元押西班牙击败佛得角,若取胜仅能拿回 108.594348 万美元。佛得角坚守全场,补时阶段也没丢球,队史首次拿到世界杯积分,两笔押西班牙取胜的投注全部作废。


短短 24 小时内,同样的剧情再度上演。媒体 Inc. 报道,交易者 FlickRaw 合计亏损约 420 万美元:其中 270 万押荷兰击败日本,150 万押比利时击败埃及。日本两度扳平比分,第 88 分钟的进球将最终比分锁定 2 比 2;比利时第 19 分钟就被埃及破门,虽在第 66 分钟扳平,但最终 1 比 1 握手言和。



比利时与埃及的平局,也抹平了本届世界杯目前单笔最大投注:交易者 leeeroyjenkins 投入 860 万美元押比利时取胜,倘若球队获胜,他本可拿到约 1310 万美元兑付资金。Polymarket 体育板块全程实时更新赛事盘面,先是公布埃及半场 1 比 0 领先,最终确认平局,这笔巨额投注彻底亏损。


为何押热门会大面积亏损?


从理论实力来看,西班牙、荷兰、比利时都明显更强,交易市场也认同这一判断。但「仅球队取胜」类合约只在单一结果下兑付奖金,而足球赛事平局十分常见,终场哨响一旦比分持平,再优势巨大的场面,投注单也会变得一文不值。


「押球队取胜」的份额定价高达 92 美分,市场默认取胜近乎板上钉钉;可一旦队伍没能多进一球,份额价值直接归零。fishalive 的两笔投注之所以盈利,是因为「西班牙无法取胜」合约、佛得角受让盘在平局条件下均可兑付,而这周所有押热门取胜的交易者,全都栽在了平局上。


冠军预期榜单可以反映市场情绪变化,随着比赛结果出炉,交易者会不断重新评估各国球队的夺冠概率。单场赛事合约传播度极高:90 分钟就能完成结算,大额盈亏截图极易在社交平台传播,不合理的大额投注会立刻付出代价。


大额交易者集中重仓押热门球队取胜,但能带来高额不对称收益的,永远是受让盘、「球队无法取胜」这类提前计入平局风险的合约。


高盛赛前预测模型给出的数据显示,西班牙夺冠概率 26%,高于法国的 19%。但佛得角逼平西班牙一战结束后,Polymarket 市场资金重新定价,法国的夺冠预期直接反超西班牙。


世界杯自带全球受众,球迷普遍能看懂比赛胜负逻辑;小组赛赛程密集,每隔几小时就会诞生新的市场热点;国家队赛事自带浓厚情感属性,无关资金盈亏;同时结算机制透明,每一笔大额投注都能生成可供截图传播的完整交易记录。以上种种特质,让预测市场得以突破加密行业圈层,走向大众视野。


后续两大发展趋势


随着淘汰赛临近,世界杯相关交易规模还会持续扩张。链上公开钱包记录、赔率实时变动、承载球迷情绪的国家队赛事,都让 Polymarket 成为体育媒体持续报道的焦点。


佛得角一战的盈利故事、比利时一战的巨额亏损案例,只是本届赛事的开端,未来每隔几天就会诞生新的出圈大额交易故事。单场赛事交易市场,对比传统体育博彩,节奏更快、盈亏冲击更直观。



大户收缩投注的场景可以预见:大量交易者像押西班牙取胜的用户一样,投入百万本金却只能期待几万收益,接连亏损后会减少单边重仓,资金会转向提前对冲平局风险的受让盘、反向投注合约。


监管层面的阻力会进一步加速这一趋势。美国商品期货交易委员会 6 月 10 日发布新规草案,计划建立联邦层面的预测市场监管体系,同时承认体育类合约具备价格发现价值。但美国各州、原住民部落与传统博彩行业集体反对这套监管方案。美国博彩协会调研显示,85% 的美国民众都将这类预测合约认定为赌博。


西班牙早在 5 月底就曾因合规资质问题,短暂封禁 Polymarket 与 Kalshi。这件事也让舆论焦点从市场规模增长,转向监管争议:匿名钱包、千万级体育投注,是否该和金融衍生品归入同一套监管标准。


目前无法判定 fishalive 的巨额收益,是精准的市场判断、纯粹运气,还是利用了单边取胜合约的定价漏洞 —— 仅靠 Polymarket 的链上账本无法得出结论。但账本清晰记录着一场又一场比赛里,资金从笃定热门必胜的投注者手中,流向看懂足球平局风险的交易者。

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Related Questions

Q文章中提到的一个名为 fishalive 的账户在 Polymarket 上通过哪场比赛获得了巨额收益?

A通过西班牙对阵佛得角的比赛获得了巨额收益。该账户押注了「西班牙无法取胜」和「佛得角受让 2.5 球盘口」,仅投入约 40 万美元本金,最终净赚近 900 万美元。

Q根据文章,为什么本周许多押注热门球队取胜的交易者出现了大面积亏损?

A因为足球比赛中平局十分常见,而「仅球队取胜」类合约只在球队获胜这一种结果下兑付奖金。即使球队场面优势巨大,一旦终场比分持平,投注单也会变得一文不值。文章列举的西班牙、荷兰、比利时等热门球队均被逼平,导致相关投注者亏损。

Q文章指出,随着世界杯淘汰赛临近和监管压力加大,交易者的投注行为可能会发生哪两大发展趋势?

A一是大户可能会收缩单边重仓热门球队取胜的投注,资金会更多转向提前对冲平局风险的受让盘和反向投注合约。二是监管层面的阻力(如美国CFTC新规草案和各州的反对)会加速这一趋势,并引发对这类预测市场合规性的讨论。

Q在比利时对阵埃及的比赛后,Polymarket 上哪一笔具体投注成为了本届世界杯目前已知的最大单笔亏损?

A交易者 leeeroyjenkins 投入 860 万美元押比利时取胜,倘若获胜本可拿到约 1310 万美元。但由于比赛最终以 1 比 1 平局收场,这笔巨额投注彻底亏损。

Q文章认为 Polymarket 的世界杯预测市场能够“突破加密行业圈层,走向大众视野”的原因有哪些?

A原因包括:世界杯自带全球受众,球迷能理解比赛逻辑;小组赛赛程密集,不断产生新市场热点;国家队赛事情感属性浓厚,不局限于资金盈亏;以及链上结算机制透明,每笔大额投注都能生成完整、可供传播的交易记录。

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How Does SPERO,$$s$ Work? SPERO,$$s$ employs a multi-faceted framework that distinguishes it from conventional cryptocurrency projects. Here are some of the key features that underline its uniqueness and innovation: Decentralised Governance: SPERO,$$s$ integrates decentralised governance models, empowering users to participate actively in decision-making processes regarding the project’s future. This approach fosters a sense of ownership and accountability among community members. Token Utility: SPERO,$$s$ utilises its own cryptocurrency token, designed to serve various functions within the ecosystem. These tokens enable transactions, rewards, and the facilitation of services offered on the platform, enhancing overall engagement and utility. Layered Architecture: The technical architecture of SPERO,$$s$ supports modularity and scalability, allowing for seamless integration of additional features and applications as the project evolves. This adaptability is paramount for sustaining relevance in the ever-changing crypto landscape. Community Engagement: The project emphasises community-driven initiatives, employing mechanisms that incentivise collaboration and feedback. By nurturing a strong community, SPERO,$$s$ can better address user needs and adapt to market trends. Focus on Inclusion: By offering low transaction fees and user-friendly interfaces, SPERO,$$s$ aims to attract a diverse user base, including individuals who may not previously have engaged in the crypto space. This commitment to inclusion aligns with its overarching mission of empowerment through accessibility. Timeline of SPERO,$$s$ Understanding a project's history provides crucial insights into its development trajectory and milestones. Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

63 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

738 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

Discussions

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