Was the Prediction Market the Biggest Winner of This Year's Super Bowl?

比推Pubblicato 2026-02-10Pubblicato ultima volta 2026-02-10

Introduzione

This year's Super Bowl marked a potential turning point, with prediction markets emerging as a serious competitor to traditional sports betting. Platforms Kalshi and Polymarket offered markets on the game, halftime show, and ads. While the American Gaming Association projected a record $1.76 billion in traditional sports bets, an analyst estimated prediction markets could capture 80% of the year-over-year growth, with a forecast of $630 million in volume for the event. However, available data suggests prediction markets fell short of this forecast. Kalshi's top Super Bowl-specific markets saw a combined volume of approximately $233 million. Its season-long "Who will win the Super Bowl" contract accumulated over $500 million in volume, but this was spread over the entire NFL season. Kalshi's significant growth is aided by its CFTC regulatory status, allowing a US mobile app, leading to 1.9 million downloads in January alone. Polymarket, lacking direct US app access for most users, saw about $76 million in volume across its top three Super Bowl markets. Its strength was demonstrated in information discovery, as its market accurately predicted Lady Gaga's surprise halftime show appearance days in advance. The activity occurs amidst an unresolved regulatory conflict, with Kalshi operating under federal CFTC oversight while state gaming regulators challenge it in court. Although prediction markets did not meet the $630 million hype for the Super Bowl weekend, their rapid user g...

Source: Bankless

Author: David Christopher

Original Title: Did Prediction Markets Win the Super Bowl?

Compiled and Edited by: BitpushNews


This year's Super Bowl—Seattle Seahawks vs. New England Patriots—though lacking the star power of last year's Chiefs vs. Eagles matchup with Taylor Swift's presence, marked a turning point: prediction markets were explicitly recognized as genuine competitors to traditional sports betting for the first time.

Two major prediction market platforms, Kalshi and Polymarket, both set up markets around the game, the halftime show, advertisements, and more. Preliminary data paints an interesting and complex picture.

A quick note before we begin: Sportsbooks have not yet aggregated and reported their total betting volume—this will take a few days. Therefore, this analysis is based on predicted data from the sports betting side versus the trading volume on prediction markets.

Sports Betting Predictions: Another Record High, But Growth Slows

The American Gaming Association estimates that U.S. sportsbooks will handle approximately $1.76 billion in bets on Super Bowl LX, setting a new record and representing a year-over-year increase of about 27%. Although specific figures vary slightly depending on the source, most predictions point in the same direction: another record high, continuing the eight-year growth trend since the Supreme Court allowed states to legalize sports betting in 2018.

But the growth rate is clearly slowing. Sports betting is now legal in 39 states and Washington D.C., with only Missouri joining this cycle as a new market—meaning the explosive growth driven by market expansion in previous years is giving way to incremental growth. Against this backdrop, prediction markets have become another factor curbing growth. Ed Birkin of H2 Gambling Capital told Fortune that he estimates prediction markets will account for 80% of the year-on-year increase in betting activity, predicting that trading volume on prediction markets during the entire event will reach $630 million.

Based on currently available data, the performance of prediction markets seems far below that figure.

Kalshi

Kalshi's markets specifically created for the Super Bowl (i.e., contracts directly tied to the game, halftime show, and broadcast) generated significant, but not predicted, trading volume:

  • Bad Bunny Halftime Show Opening Song: $113.5 million

  • Which Company Will Air the First Commercial: $72.2 million

  • Who Will Perform at the Game: $47.3 million

Just these top few markets saw a combined trading volume of approximately $233 million, far below the $630 million prediction analysts had for the entire prediction market.

Furthermore, Kalshi's flagship NFL market—a "Who Will Win the Super Bowl" contract open for months throughout the season—saw total trading volume exceed $500 million. But this figure reflects the cumulative trading volume over the entire NFL season, not just Super Bowl weekend. Even so, this is less than a third of the amount sportsbooks are predicted to handle for the Super Bowl alone.

For months, sports betting has constituted the vast majority (over 90%) of Kalshi's total trading volume, thanks to its promotional channels which are on par with, if not better than, those of sportsbooks.

First, Kalshi's federal regulation through the CFTC means U.S. users can access it directly via its mobile app, just like a sports betting app. Coupled with a strong venture capital-backed advertising budget and a partnership with Robinhood, Kalshi stands out. This foundation is paying off: In January alone, Kalshi saw 1.9 million downloads, while DraftKings and FanDuel's new prediction market apps, launched in December, saw combined downloads of less than 100,000 (these apps were launched in states where their traditional sports betting apps are not permitted, but response has been tepid so far). Additionally, DraftKings partnered with Crypto.com last Friday to expand its event contract offerings, indicating that established giants are taking this threat seriously.

Polymarket

Polymarket's similar season-long NFL market saw trading volume of about $700 million—higher than Kalshi's—but the situation is different for its Super Bowl-specific markets. Polymarket's top three Super Bowl markets saw a combined trading volume of approximately $76 million:

  • Main Game Market: $55.26 million

  • Super Bowl MVP: $12 million

  • Who Will Perform the Halftime Show: $9 million

Polymarket lacks Kalshi's regulatory approval in the U.S., meaning American users cannot access it directly through a mobile app. Technically, Polymarket now has a U.S. app after acquiring a CFTC-registered exchange last year, but it is currently rolling out gradually through a waitlist, and its Super Bowl offerings were limited. As of the week before the game, the app didn't even list any sports markets; the full suite of Super Bowl features was only available on its global website.

Therefore, most U.S. users still need to access it via the website, using VPNs, etc. For casual sports bettors, this is not on the same playing field as downloading Kalshi from the App Store.

However, where Polymarket truly shines is its primary use case—information discovery. In its halftime show performer market, Lady Gaga's probability remained stable at around 80% in the days leading up to the game—well before her surprise appearance at the halftime show, which Billboard magazine had not reported on and genuinely surprised everyone I watched with.

Regulatory Progress

All of this is happening against the backdrop of unresolved regulatory conflicts.

Kalshi operates as a federally regulated exchange under the CFTC, which allows its sports contracts to proceed—especially after new CFTC Chairman Michael Selig stated he would not block or cede regulatory authority to the states. State gaming regulators, who oversee sportsbooks, continue to pursue legal challenges against Kalshi and its peers, and many analysts expect these cases to eventually reach the Supreme Court.

For now, prediction markets operate in a gray area, allowing them to cover the nation without needing state-by-state approval—a structural advantage that sportsbooks cannot easily replicate.

Summary

So, did prediction markets live up to the hype for Super Bowl LX? Relative to the $630 million prediction, not quite.

The combined trading volume on the visible top Super Bowl-specific markets across the two leading platforms was approximately $310 million—about half the predicted value. The season-long NFL markets on both platforms achieved huge trading volumes, but that was cumulative over months of football games, not a single-week explosion during Super Bowl weekend.

Context is also important. The 1.9 million downloads Kalshi garnered in January dwarf the combined total of DraftKings and FanDuel's prediction market apps. This pressure is already visibly reflected in stock prices—as observed by Fortune, shares of FanDuel parent Flutter Entertainment have fallen for eight consecutive weeks, their longest losing streak in twenty-three years; DraftKings' stock price is hovering near its lows since 2023, down more than 60% from its all-time high. Bloomberg data shows that over the past three months, market expectations for Flutter's Q4 earnings have been sharply cut by nearly 49%, and DraftKings' expectations have also fallen by 29%. Imagine if someone had bet on Polymarket that "DraftKings will underperform," they might have quietly profited by now.

Prediction markets may not have conquered the Super Bowl overnight, but they have certainly arrived—and for traditional sports betting platforms, the trajectory of this trend is alarming enough.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7610501

Domande pertinenti

QWhat was the estimated total betting volume for Super Bowl LX by the American Gaming Association?

AThe American Gaming Association estimated that U.S. sportsbooks would handle approximately $1.76 billion in bets for Super Bowl LX.

QWhich two prediction market platforms were highlighted as major players for the Super Bowl markets?

AThe two major prediction market platforms highlighted were Kalshi and Polymarket.

QWhat was the combined trading volume of Kalshi's top three Super Bowl-specific markets?

AThe combined trading volume of Kalshi's top three Super Bowl-specific markets was approximately $233 million.

QWhat key regulatory advantage does Kalshi have over Polymarket in the United States?

AKalshi operates as a federally regulated exchange by the CFTC, which allows U.S. users direct access through its mobile app, unlike Polymarket which lacks this approval and requires most U.S. users to access via its global website, often using a VPN.

QAccording to the article, what was one significant way that Polymarket demonstrated its strength in 'information discovery'?

APolymarket's market on the halftime show performer correctly showed Lady Gaga's probability at around 80% days before the game, well ahead of her surprise appearance which was not reported by Billboard, showcasing its predictive information discovery capability.

Letture associate

The Shutdown of Claude Mythos Revealed the True Cost of Renting AI to Me

The sudden shutdown of Claude Mythos this week starkly highlights a critical, often overlooked risk for founders: when your core capability relies entirely on someone else's platform, your fate is not in your own hands. The key question becomes: who truly owns the intelligence your product depends on? For years, the debate around open-source models focused on cost. Now, the evidence is clear: fine-tuned open-source models can achieve frontier-level quality for specific, mission-critical tasks at a fraction of the cost. However, the deeper issue is control. Relying on a third-party API is like renting; it works until the landlord changes the rules, raises the rent, or asks you to leave—as Mythos experienced. The lesson is not to stop using frontier models—they are incredible infrastructure. The goal is ownership. Ownership means starting with a powerful open-source model and shaping it around what makes your company unique: your data, workflows, domain expertise, and definition of "good." Over time, the model becomes less generic and more reflective of your business, creating durable value. The optimistic conclusion is that AI's future doesn't hinge on one superior model. There is no single frontier. The frontier includes proprietary models, models fine-tuned on company-specific knowledge, specialized models for narrow problems, and intelligent routers orchestrating model ensembles. The most interesting development is not models getting smarter, but intelligence becoming increasingly customizable. The winning companies will be those that transform intelligence into a unique, owned asset. Looking ahead, the vision is not one model dominating all, but many teams owning the part of the frontier that matters most to them.

marsbit1 min fa

The Shutdown of Claude Mythos Revealed the True Cost of Renting AI to Me

marsbit1 min fa

Tiger Research: U.S. Strategic Bitcoin Reserve - Should the Market Be Happy or Disappointed?

Tiger Research analyzes the evolution of U.S. legislative efforts regarding a strategic Bitcoin reserve, concluding the market impact is limited in the short term but potentially positive long-term. The core event was a March 2025 executive order by former President Trump, which designated confiscated Bitcoin as a strategic reserve and promised not to sell existing holdings (approx. 190k BTC). As it contained no mandate to purchase new Bitcoin, the market reacted negatively, with prices dropping 5.7%. Legislative history shows a significant retreat from initial ambitions. The 2024 "BITCOIN Act" proposed mandatory purchases of 1 million BTC over five years. Reintroduced in 2025, it stalled due to high fiscal costs, concerns over dollar hegemony, and opposition from the Treasury Secretary. The current frontrunner, the 2026 "American Retirement and Monetary Advancement (ARMA) Act," is a compromise. It lacks any purchase requirement, instead focusing on consolidating existing government-held Bitcoin and legally prohibiting its sale for at least 20 years. While ARMA has higher passage odds due to bipartisan support and no purchase mandate, its immediate market effect is neutral. It eliminates potential government selling pressure but creates no new demand. The long-term significance is that formally establishing Bitcoin as a national reserve asset in law could later reignite debates on mandatory purchases. Therefore, the path to a government buyer is longer than initially priced by the market, but the directional narrative remains intact.

marsbit4 min fa

Tiger Research: U.S. Strategic Bitcoin Reserve - Should the Market Be Happy or Disappointed?

marsbit4 min fa

US Stock Market Trend (June 16): SpaceX Rises 42% in Two Days, New Fed Chairman Takes Office Today

**U.S. Stocks Trend (June 16): SpaceX Soars 42% in Two Days, New Fed Chair Takes Office Today** Markets surged on Monday following former President Trump's social media announcement of a completed U.S.-Iran deal to reopen the Strait of Hormuz, pending a June 19 signing. The news triggered a broad risk-on rally: oil prices crashed, tech stocks soared, bond yields fell, and defensive sectors lagged. **Market Performance:** The Nasdaq jumped 3.07%, led by semiconductor stocks like Micron (+9.2%). The S&P 500 gained 1.65%, and the Dow rose 0.92% to a record high. However, the Russell 2000 small-cap index underperformed (+0.72%). SpaceX continued its hot streak, rising another 5% pre-market after disclosures of large buys by an Australian billionaire and Cathie Wood's ARK. Boeing also rallied on the transportation optimism. Conversely, energy stocks like Chevron fell over 3% on the oil price plunge, with other defensive sectors also selling off. The day's action showed a clear rotation of funds from energy/defensive plays into AI and tech narratives. **Macro & Outlook:** The VIX fear index fell 8.37%. Treasury yields declined, and WTI crude dropped over 5%. Attention now shifts to a packed schedule: the Bank of Japan is widely expected to hike rates to 1.0% on Tuesday. The Fed's June meeting concludes Wednesday, marking new Chair Wash's debut. While rates are expected to hold, his tone on stubborn inflation and the "dot plot" will be crucial for gauging the 2024 rate path. The formal Iran deal signing is set for Friday. **Trend Perspective:** While the peace deal is a genuine positive, Monday's explosive rally may have gotten ahead of itself, pricing in a swift resolution to inflation concerns. The shortened trading week faces a triple test: BoJ tightening, the Fed's policy stance, and deal implementation details. Tech and semiconductors, which led the surge, remain vulnerable to any disappointment from these key events. The real price discovery begins with the central banks' communications this week.

marsbit25 min fa

US Stock Market Trend (June 16): SpaceX Rises 42% in Two Days, New Fed Chairman Takes Office Today

marsbit25 min fa

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit58 min fa

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit58 min fa

Trading

Spot
Futures
活动图片