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TCU and Arizona matchup draws $25 million in Kalshi trading

DeFi Rate ranks TCU against Arizona among the most traded prediction markets of the last 24 hours at 25 million dollars on Kalshi. The game spread market on the same matchup adds a further 8.7 million dollars.

TCU against Arizona ranked among the most actively traded prediction markets over the last 24 hours, with $25 million traded on Kalshi, according to DeFi Rate.

A separate game spread market for the same matchup recorded a further $8.7 million, according to the outlet. That figure is additional to the $25 million, rather than part of it.

Two markets attract activity

DeFi Rate’s ranking puts the matchup among the period’s trading leaders, but the supplied summary does not give its exact position or identify the markets ranked above or below it.

The report was published on Nov 7, 2026, at 8:15 AM ET. Its figures describe trading activity over the preceding 24 hours; the summary provides no contract prices, implied probabilities or details on how trading was distributed between outcomes.

What it means for prediction markets

  • The reported activity spans two distinct markets: $25 million on TCU against Arizona and another $8.7 million on the game spread.
  • Trading volume alone does not establish which team traders favor or how expectations changed.
  • The ranking offers a measure of relative activity, but the supplied information does not establish an exact rank or support comparisons with other named markets.
KalshiInfiniti MarketsInfiniti Signals

Sources & attribution

Published
  1. 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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