Prediction Market Leaders Are Frantically Competing for Top-Tier Sports IPs

Odaily星球日报Опубліковано о 2026-01-28Востаннє оновлено о 2026-01-28

Анотація

Prediction market platforms are aggressively securing exclusive partnerships with major sports leagues, as seen in Polymarket's recent multi-year deal with Major League Soccer (MLS). This follows similar agreements with the NHL and UFC. While these "official exclusive prediction market" designations don’t legally prevent other platforms from offering markets on these leagues (due to the current ambiguous regulatory landscape for prediction markets compared to sports betting), they provide significant advantages. The core benefits include access to official, high-quality data for more accurate odds and faster settlements, brand authorization for marketing, and collaborative integrity monitoring to prevent market manipulation. With sports-related markets dominating trading volume on leading platforms like Kalshi (over 90%) and Polymarket (43%), competition for these lucrative partnerships is intensifying. This trend mirrors the established sports betting industry, where data and brand deals are crucial for service quality. While the top players battle for mainstream sports, data suggests emerging platforms may find opportunity in niche markets, such as crypto-native events, to differentiate themselves.

Original | Odaily Planet Daily (@OdailyChina)

Author | Azuma (@azuma_eth)

On January 27 local time in the United States, the commercial department of Major League Soccer (MLS), Soccer United Marketing (SUM), announced a multi-year cooperation agreement with the prediction market platform Polymarket. According to the agreement, Polymarket will become the official exclusive prediction market partner for the MLS league, MLS All-Star Game, MLS Cup Final, and the Leagues Cup. Meanwhile, MLS will require Polymarket to use the league's official data and third-party integrity monitoring systems, and it is not allowed to set up betting items that the league deems easily manipulated or potentially involving insider information.

This is not the first time a sports league has partnered with a prediction market. As early as last October, the National Hockey League (NHL) reached multi-year licensing agreements with both Kalshi and Polymarket; later, in November last year, Polymarket also reached an agreement with the Ultimate Fighting Championship (UFC), becoming UFC's official exclusive prediction market partner.

What does "official exclusive prediction market" mean? Does this mean that other unauthorized platforms will no longer be able to offer related markets in the future? What impact will this have on future competition? Although there are currently limited mature cases of prediction markets cooperating with sports events, and the observable samples are few, we can find similar answers to the above questions from the sports betting market, which has extremely similar service effects.

  • Odaily Note: For the similarities in services and differences in regulation between prediction markets and sports betting, as well as the regulatory博弈 surrounding prediction markets, please refer to our article from two weeks ago: "Prediction Markets Are Being Chased by the Old Order for Moving a Trillion-Dollar Cake of the Betting Industry."

Exclusive Authorization Market Licensing

First, let's answer the most critical question — Does the existence of exclusive authorization mean that other unauthorized platforms will no longer be able to offer related markets in the future?

The current situation in sports betting is that since the U.S. Supreme Court overturned the federal law "Professional and Amateur Sports Protection Act" (PASPA), which had prohibited commercial sports betting, on May 14, 2018, U.S. states have gained the autonomy to decide whether to legalize sports betting within their jurisdictions. In other words, the legality of betting services depends on state-level licensing, not commercial authorization from the leagues — in reality, when betting companies set up markets or provide betting services for various legal sports events, they do not need to obtain commercial authorization from the league operators.

However, in a few states like Tennessee, state-level sports betting regulatory agencies require betting companies to use the league's official data when providing in-play betting services, unless it can be proven that the data is not applicable or unavailable. This makes official authorization affect the scope of services of betting companies at a factual level — only by obtaining data authorization can they provide the most complete betting services.

But this logic does not directly apply to prediction markets at present. Due to the unclear (and objectively more lenient) regulatory system for prediction markets, before the final results of the appellate court or even the Supreme Court are determined, Polymarket and Kalshi are not obliged to follow similar requirements in betting regulations.

Therefore, although Polymarket has now obtained exclusive authorization from MLS, at least at this stage, it does not mean that other platforms like Kalshi are no longer allowed to set up MLS-related markets.

If Not Necessary, What Is the Significance of Authorization?

Although it is not "necessary to have authorization to open markets," in actual commercial operations, there are indeed a large number of commercial cooperation and authorization agreements between major sports leagues and betting companies. For example, the NFL has signed a long-term cooperation agreement with Genius Sports, authorizing real-time event data to betting companies through Genius as the sole official data provider, including rosters, match reports, technical statistics, etc.

For betting companies, the main significance of authorization is that they can directly obtain official data and brand authorization from the operators of sports events through commercial agreements to improve their service quality and user experience. If it is an exclusive authorization, an additional layer of exclusivity can be added on this basis.

The most core significance naturally lies in the quality and completeness of the data. Compared with data scraping through third-party channels, the official data obtained based on authorization agreements will definitely be more accurate, timely, and complete, which has a direct impact on improving the accuracy of betting odds, accelerating settlement efficiency, and expanding betting categories. As for brand and trademark authorization, it can allow betting companies to be more flexible in promoting related markets — they can use the logos of leagues, teams, and players while avoiding infringement risks.

Conversely, for sports events, reaching authorization agreements directly with betting companies also helps reduce the possibility of market manipulation (which may sound a bit abstract...). Both parties can standardize the betting range and share abnormal betting data to promptly detect potential manipulation possibilities. For example, in the cooperation between Polymarket and MLS, it has been clearly stated that markets that are easily manipulated by individuals, such as red and yellow card decisions, or those that may involve insider information, such as coach dismissals and player transfers, are not allowed.

Given the high overlap in service effects between prediction markets and sports betting, the significance of authorization agreements for the sports betting market will also take effect in prediction markets.

Head-on Clash of the Leaders, the Unconventional Second Tier

Sports betting has long been verified as a business with a huge scale and certain growth, and in prediction markets, sports events have gradually become the category with the highest transaction volume proportion.

Dovey Wan (@DoveyWan), founder of Primitive Ventures, yesterday posted the proportion of turnover of various types of events on several major prediction markets. Among them, the betting scale proportion of sports events on Kalshi has exceeded 90%, and the proportion of sports events on Polymarket has also reached 43% — obviously, sports events have become the core traffic source for these two leading prediction markets.

In the face of the huge存量规模 and visible增量空间, market competition is inevitable. Currently, among the four major U.S. sports leagues, only the NHL has stepped in and signed authorization agreements with Kalshi and Polymarket respectively, while the NFL, NBA, and MLB are still in a wait-and-see stage. It is expected that after Polymarket has successively seized the exclusive authorization of UFC and MLS, Kalshi and Polymarket, the two leaders with compliance and capital advantages, are likely to engage in more intense competition for the authorization of various top-tier sports events in the future, and there will inevitably be more exclusive agreements.

But the data also reveals another interesting phenomenon — perhaps due to cultural differences and user habits, emerging prediction markets on the other side of the world are moving towards截然不同的差异化道路. As shown in the previous figure, the proportion of event turnover围绕ing原生加密市场 events on Opinion is much higher than that on Kalshi and Polymarket. While the leaders are clashing head-on over the huge cake of sports events, choosing to take an unconventional path may be an opportunity for second-tier projects to catch up on a curve.

Пов'язані питання

QWhat is the significance of the partnership between MLS's Soccer United Marketing (SUM) and Polymarket?

AThe partnership makes Polymarket the official exclusive prediction market partner for MLS, MLS All-Star Game, MLS Cup, and Leagues Cup, allowing it to use official league data and integrity monitoring systems while restricting markets prone to manipulation or insider information.

QDoes an exclusive prediction market partnership like Polymarket's with MLS prevent other platforms from offering related markets?

ANo, it does not necessarily prevent other platforms from offering markets, as prediction markets currently operate under a less clear regulatory framework compared to sports betting, and authorization isn't legally required to open markets in most cases.

QWhat are the key benefits for a prediction market platform in securing an official data授权 from a sports league?

AOfficial data授权 provides more accurate, timely, and complete data, improving odds accuracy, settlement efficiency, and market variety. It also includes brand授权 for marketing and helps mitigate manipulation through regulated markets and shared monitoring.

QAccording to the data shared by Dovey Wan, what is the proportion of sports-related event volume on Kalshi and Polymarket?

ASports-related event volume accounts for over 90% on Kalshi and 43% on Polymarket, making it a core traffic source for these leading prediction markets.

QHow might the competition for top sports IP affect the prediction market landscape, particularly for second-tier projects?

AThe intense competition for exclusive sports授权 between giants like Kalshi and Polymarket may push second-tier projects to pursue差异化 strategies, such as focusing on crypto-native markets, as seen with Opinion's higher volume in that area.

Пов'язані матеріали

TechFlow Intelligence: Trump-Linked Companies Transfer $12 Million in Assets Before China Visit, 'The Big Short' Protagonist Warns of Stock Market Bubble Again

The article reports multiple developments across tech, crypto, and finance. In AI, Mozilla used AI for large-scale code review, Google confirmed hackers used AI to find zero-day exploits, and OpenAI deployed GPT-5.5 to find errors in math benchmarks. A court ruled Anthropic's scanning and destroying books for AI training as fair use, while its Claude platform launched on AWS. Google's new video model 'Omni' was leaked. In crypto/Web3, Trump-linked companies transferred $12M in crypto assets before a China visit. BlackRock chose Ethereum for tokenized funds, and a hacker stole $174k via a malicious NFT that tricked an AI. Jack Dorsey's first tweet NFT plummeted from $2.9M to under $5. In chips/hardware, TSMC approved an additional $20B for its Arizona plant. Apple's Tim Cook and Elon Musk will accompany Trump to China, while Nvidia's Jensen Huang is notably absent. For markets, Michael Burry warned of parabolic stock rises and suggested near-total sell-offs, with online discussions comparing current sentiment to the 1999 bubble. Other notes include WTI oil surpassing $100, a 20% price hike for Beijing-Shanghai high-speed rail, and new products like Unitree's $26.9k humanoid robot. The underlying theme suggests AI is becoming infrastructure, creating pressure on old systems while a new order is not yet ready, leaving investors anxious.

marsbit6 хв тому

TechFlow Intelligence: Trump-Linked Companies Transfer $12 Million in Assets Before China Visit, 'The Big Short' Protagonist Warns of Stock Market Bubble Again

marsbit6 хв тому

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit1 год тому

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit1 год тому

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbit1 год тому

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片