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$154.3b
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$228,458,490
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410,833
Markets across
40,345
events
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4,363
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5
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37%
VS.
Kalshi:
63%
Closed: Oct 24, 11:00 PM EST
Predict
In the upcoming college football game between UTSA and Tulane, scheduled for October 24 at 8:00PM ET: This market will resolve to "UTSA" if UTSA win the game. This market will resolve to "Tulane" if Tulane win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
In the upcoming college football game between UTSA and Tulane, scheduled for October 24 at 8:00PM ET: This market will resolve to "UTSA" if UTSA win the game. This market will resolve to "Tulane" if Tulane win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk assessment, while this market aggregates the predictions of many individuals. If a significant discrepancy exists between the two, opportunities for arbitrage may arise, as traders attempt to profit from the difference. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the final result of the UTSA vs. Tulane game, as reported by official sources. The platform will verify the result against these sources to determine the winning outcome and distribute payouts accordingly. Traders should monitor official announcements to stay informed about the event's progress and the expected resolution timeline.
Several factors could influence this market before resolution. Any news regarding injuries to key players on either the UTSA or Tulane teams would likely cause significant movement. Changes in weather forecasts, coaching decisions, or even unexpected team performance in preceding games could also shift the odds. Public sentiment, as reflected in social media and sports news, can also play a role, as traders react to new information and adjust their predictions accordingly. Major upsets in related games could also indirectly impact this market.