Fritz–Alcaraz leads Kalshi trading as sports volume reaches $1.1 billion
The tennis match tops the 24-hour market list ahead of Jacksonville against Baltimore at 21 million dollars and Miami against Golden State at 20 million dollars. Sports accounts for 1.1 billion dollars of category volume in the last 24 hours in the tracker.
The tennis match between Taylor Fritz and Carlos Alcaraz generated 28 million dollars in trading on Kalshi over the last 24 hours, placing it first on the market-volume list, according to DeFi Rate.
The figures were published on Nov 6, 2026, at 8:45 PM ET. They capture trading activity over that 24-hour window, rather than the likelihood of either player winning.
Tennis leads the reported rankings
Jacksonville against Baltimore ranked behind the tennis match with 21 million dollars traded. Miami against Golden State followed at 20 million dollars, according to DeFi Rate.
The tracker recorded 1.1 billion dollars in sports-category volume over the last 24 hours. The supplied figures provide a category-wide total but no breakdown beyond the three leading matchups.
What it means for prediction markets
- Volume identifies trading activity, not the favorite. The 28 million dollars traded on Fritz–Alcaraz establishes its position atop the reported list, but no contract prices or implied probabilities were provided.
- The ranking is time-specific. The reported order reflects the last 24 hours as of the Nov 6, 2026 publication, not a longer-term comparison.
- Sports activity extends beyond the leading contracts. The 1.1 billion dollars in category volume offers broader context, though the supplied data do not show how the remaining volume was distributed.
Sources & attribution
- Published
- Source
- DeFi Ratedefirate.com
- Publisher
- https://defirate.com
- Source URL
- The feed did not publish this story's article address.
Full attribution under the Digital Millennium Copyright Act (DMCA), 17 U.S.C. § 512: this article is an original report by Infiniti Intelligence that summarizes the reporting of the publishers named above, links to their original work, and reproduces no protected expression beyond brief factual reference and in-line attribution (“according to DeFi Rate”). All rights in the underlying reporting remain with the publishers listed; nothing here implies endorsement by or affiliation with them. Rights holders may request correction, update or removal through the contact address published at infiniti.w3ai.io.
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