The 2026 FIFA World Cup in the US, Canada, and Mexico was not only a global soccer spectacle—it also marked the most active period in the history of crypto prediction markets. From the opening match on June 11 to the final on July 19, platforms like Polymarket saw unprecedented capital inflows. Yet, just days after the tournament ended, daily trading volume and fee revenue dropped sharply. Was this event-driven surge a sign that prediction markets are entering the mainstream, or simply an unrepeatable, short-lived spike?
How Much Trading Activity Did Prediction Markets Generate During the World Cup?
To understand the scale of this growth, we need to look at both total volume and its composition. By mid-July, Polymarket and Kalshi had processed roughly $5.81 billion in combined trading volume across 52 major and minor 2026 FIFA World Cup prediction markets. Polymarket led with about $4.21 billion, while Kalshi contributed around $1.17 billion.
Focusing solely on World Cup-related events, Kalshi recorded $13.591 billion in trading volume, and Polymarket reached $10.356 billion—a gap narrowed to about 1.3 times. Including platform-wide totals, Kalshi’s overall trading volume during the World Cup hit $54.338 billion, roughly 2.6 times Polymarket’s $20.988 billion. As a newcomer, predict.fun, launched just over half a year ago, saw total platform trading volume of $1.092 billion during this period, with $886 million attributed to World Cup markets.
This influx of capital signals that prediction markets have evolved from niche crypto experiments into venues capable of handling large-scale funds. Polymarket’s World Cup champion prediction contract alone surpassed $4 billion in cumulative trading, breaking the previous record of $3.69 billion set by the 2024 US presidential election. From just $138,000 during the 2022 Qatar World Cup to $4.1 billion in 2026, the growth over four years exceeded 40,000-fold.
Where Does Nearly $100 Million in Quarterly Fees Stand in the Industry Cycle?
The surge in trading volume translated directly into platform revenue. According to data from crypto VC firm 1kx, on-chain protocol fees in Q2 2026 fell 33% year-over-year, reflecting classic bear market conditions. DEX fees dropped most sharply—down 57%, a decrease of about $625 million. However, perpetual contracts and prediction market fees bucked the trend, rising 22%. Polymarket’s quarterly fees approached $100 million. Both Canton Network and Polymarket entered the top 20 in on-chain protocol fee rankings for the first time.
Focusing on World Cup fee income, Kalshi accumulated $473.2 million in fees throughout the tournament, with weekly peaks exceeding $100 million. Polymarket’s total income reached $111.4 million, with weekly revenue consistently around $20 million. Predict.fun earned nearly $3.5 million during the World Cup.
Viewed in the broader industry context, Polymarket’s nearly $100 million in quarterly fees stands out amid overall declines in on-chain protocol fees. However, this revenue was heavily concentrated in the World Cup window—high-frequency trading during the event, followed by a steep drop-off afterward, created a dramatic volatility curve in fee income.
Why Didn’t User Growth During the Tournament Lead to Long-Term Retention?
The explosive growth in trading volume was accompanied by a rapid expansion of the user base. During the World Cup, about 60% of Polymarket bettors were new to crypto. This highlights the event’s unique value as a crypto adoption accelerator—it successfully brought large numbers of mainstream users into prediction markets.
However, this growth in user numbers did not translate into lasting retention. Post-event data shows that the surge was a short-term benefit, with little impact on long-term activity or capital retention across the three major platforms. Predict.fun’s weekly 120,000 unique users closely tracked the World Cup schedule, clearly event-driven. Once the tournament ended, maintaining user stickiness became the central challenge.
Looking at user structure, about 84% of Polymarket’s 2.5 million accounts were in loss, and 82.3% traded less than $10,000 for the entire quarter. The median transaction was just $2–3. This "long-tail retail + few profitable whales" structure is especially fragile in event-driven growth—when the excitement fades, retail traders quickly leave, and even professional traders can’t sustain high-frequency trading in a low-liquidity market.
Why Did User Retention Diverge Significantly Across Platforms?
Post-event declines were not evenly distributed. Kalshi’s average daily nominal trading volume rose from $580 million in May to $1.393 billion during the World Cup—a 140% increase. By July 22, trading volume fell to $494.4 million, below May’s daily average. Polymarket saw similar volatility, rising from a $228 million daily average in May to about $538 million during the tournament.
Fee income after the tournament showed even sharper divergence. Kalshi’s post-event fee income dropped just 9.3% to $11 million per day—the smallest decline. Polymarket and predict.fun, by contrast, saw drops of 40.5% and 36.1%, respectively.
This divergence stems from differences in trading structure. Kalshi’s trading is more diversified—beyond the World Cup, other sports, politics, and macro markets continue to contribute volume, supporting post-event activity. Polymarket’s flagship markets are more concentrated in US elections, crypto, and geopolitical events. While the World Cup boosted sports market share, there was no equally large event to fill the gap afterward. Polymarket’s TVL did not rise in step with trading volume during the tournament, and continued to decline post-event, reaching about $340 million.
Why Is Event-Driven Growth Difficult to Convert Into a Platform’s Core User Base?
The World Cup brought "event-driven liquidity" to prediction markets—users came for a specific event and left when it ended. This liquidity has three structural features:
First, the time window is highly concentrated. 104 matches took place over about 40 days, with daily trading volume peaking during the tournament and dropping quickly to pre-event or even lower levels afterward. This "pulse" growth cannot be smoothed into stable monthly or annual curves.
Second, trading targets are one-off. Contracts like World Cup champion, match outcomes, and player performance lose their trading value once the tournament ends. Platforms must continually find the next equally attractive event to maintain liquidity. Events capable of driving tens of billions in trading volume—from the US election to the World Cup—are exceedingly rare.
Third, user behavior is "task-oriented." Around 60% of first-time crypto users came specifically to bet on the World Cup, viewing prediction markets as "event betting tools" rather than "financial infrastructure." After the tournament, they lack functional reasons to stay—they won’t naturally shift to political or macro contracts, since those areas lack familiar narratives and emotional connection.
Has This Growth Cycle Proven the Long-Term Value of Prediction Markets?
Despite the clear "spike and retreat" pattern in post-event data, it’s undeniable that the 2026 World Cup changed the industry landscape for prediction markets in several ways.
From the perspective of market perception, prediction markets completed a leap from "crypto geek experiments" to "mainstream financial infrastructure." Single-event contract volumes of $4 billion mean systematic market makers, quantitative trading teams, and institutional capital are now deeply involved. This maturity at the infrastructure level will not be undone by the end of a single event.
On the product side, sports contracts moved from niche offerings to core trading segments, opening new asset classes for prediction markets. While World Cup hype cannot persist, the "sports events + prediction markets" product model has been validated—the Super Bowl generated $1.4 billion in trading, and the World Cup pushed this number into the tens of billions.
In terms of competitive dynamics, new platforms like predict.fun leveraged the event window to jump from zero to nearly $900 million in trading volume. While event-driven gains are short-lived, they provide rare opportunities for early-stage platforms to overcome cold-start barriers.
Summary
The 2026 World Cup brought prediction markets $5.8 billion in total trading volume, nearly $100 million in quarterly fee revenue, and millions of new users. Yet, the rapid post-event decline in trading volume, differentiated drops in fee income, and structural challenges in user retention show that this growth was a classic short-term, event-driven windfall—not yet converted into long-term platform activity or capital retention.
The varied post-event performance across platforms reveals that long-term competitiveness in prediction markets depends not on the explosive impact of a single event, but on diversified trading structures and sustained event coverage. Kalshi’s diversified trading structure gave it greater resilience, while Polymarket must now find the next event capable of supporting tens of billions in trading volume.
The long-term value of prediction markets will not be invalidated by the end of one tournament, but the industry must recognize: event-driven gains are amplifiers, not engines. The true growth driver lies in converting millions of event-driven users into habitual, multi-category, long-term participants—requiring systematic evolution in product design, market coverage, and user education.
FAQ
Q: What was the total trading volume in prediction markets during the 2026 World Cup?
Polymarket and Kalshi processed about $5.81 billion in combined trading volume across 52 World Cup-related prediction markets. Including all platform trading, Kalshi’s total volume during the World Cup reached $54.338 billion, and Polymarket’s was $20.988 billion.
Q: How much fee revenue did Polymarket generate in Q2?
According to crypto VC firm 1kx, Polymarket’s fee revenue in Q2 2026 was nearly $100 million. While overall on-chain protocol fees dropped 33% year-over-year, perpetual contracts and prediction market fees rose 22%.
Q: How much did prediction market trading volume decline after the World Cup ended?
After the tournament, daily trading volumes on all platforms fell to or below pre-event levels. Polymarket’s sports trading volume dropped from nearly $2.3 billion to $740 million—a decline of almost 70%. Kalshi’s July 22 trading volume was below its May daily average.
Q: How did user retention differ across platforms?
Kalshi’s post-event fee income dropped just 9.3%, the smallest decline; Polymarket and predict.fun saw declines of 40.5% and 36.1%, respectively. The difference stems mainly from Kalshi’s more diversified trading structure—other sports, political, and macro markets continue to contribute volume beyond the World Cup.
Q: Did this growth cycle prove the long-term value of prediction markets?
The World Cup demonstrated prediction markets’ ability to handle large-scale funds and the commercial potential of sports contracts. However, post-event data shows that event-driven gains have not yet converted into long-term user retention or capital accumulation. The long-term value of prediction markets depends on whether platforms can turn event-driven users into sustained, cross-category participants.
