TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 5, 9:28 PM EST
Kalshi
This market tracks the outcome of a college football game between Tulsa and Rice, focusing on which team secures a victory in the contest scheduled for October 17, 2026. The result depends solely on the final score of the game as officially recorded. Any changes to the game's timing or cancellation will follow specific guidelines to ensure a fair resolution.
The event determines the winner of the Tulsa vs. Rice college football game scheduled for October 17, 2026, with separate markets for each team’s victory. If the designated game is played and either team wins, the corresponding market resolves to Yes. Should the game be postponed but commence within 48 hours of its original start time, the market remains open to resolve based on the final result once played. If the game is cancelled or fails to start within this 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies that it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profitability, while this market allows traders to directly express their beliefs about the outcome. Discrepancies can emerge as new information becomes available or as different groups of people analyze the game. It’s common to see prediction markets move more efficiently with new data than traditional betting markets, although both aim to predict the final result.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s collective probability assessment of that outcome occurring. As more traders participate and place orders, the prices adjust, providing a dynamic representation of expectations. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a decentralized mechanism, allowing traders to set the prices based on their own analysis and information, rather than a fixed oddsmaker determining the initial lines. This creates a unique pricing dynamic driven by supply and demand.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Tulsa vs Rice game, as reported by a trusted sports data provider. The platform will verify the final score and determine the winning outcome based on this data. Traders who correctly predicted the result will receive a payout based on the final market prices at resolution. It’s important to monitor the market leading up to this date to understand the prevailing sentiment.
Several factors could influence this market before Oct 17, 2026. Key injuries to star players on either the Tulsa or Rice teams would likely cause significant shifts in the odds. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major news regarding team morale could also move the market. Public sentiment, as reflected in polls or expert analysis, can also play a role, though the market often incorporates this information quickly. Any developments that alter the perceived probability of either team winning have the potential to impact trading activity and price fluctuations.