TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:01h:58m
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This group covers various markets related to the UCF vs. Kansas college football game scheduled for November 7th. Markets range from the simple win/loss outcome to point spreads, over/under totals, and player/team statistics.
In the upcoming college football game between UCF and Kansas, scheduled for November 7 at 1:00PM ET: This market will resolve to "UCF" if UCF win the game. This market will resolve to "Kansas" if Kansas 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.
The market resolves to Yes if either UCF or Kansas wins the college football game originally scheduled for November 7, 2026. If the game is postponed but begins within 48 hours of the scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price.
In the upcoming college football game between UCF and Kansas, scheduled for November 7 at 1:00PM ET: This market will resolve to "UCF" if UCF win the game. This market will resolve to "Kansas" if Kansas 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.
Prediction market odds, like those found on this market, often reflect a more nuanced view than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while prediction markets are driven by individuals wagering their own capital based on their beliefs. This can lead to differences, especially as new information emerges. While sportsbooks may initially set odds based on team statistics and expert opinions, this market incorporates a broader range of perspectives and can react more quickly to unforeseen events or changing sentiment. This dynamic often results in more accurate predictions.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price discrepancies between Polymarket and Kalshi often arise due to variations in trader demographics, market design, and liquidity. Polymarket may attract a different class of participants than Kalshi, leading to differing interpretations of available information. Additionally, the specific market structures on each platform – such as fees, margin requirements, and order types – can influence price discovery. These factors contribute to the observed differences in how traders assess the probability of various outcomes for the UCF vs. Kansas game, resulting in distinct prices across the two platforms.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the UCF vs. Kansas game, as reported by official sources, will determine the outcome of this market. Traders will be able to see the verified result and any associated payouts after the resolution date. The platform will utilize publicly available data to ensure an accurate and transparent resolution process, reflecting the actual game result.
Several signals could influence trading activity and shift the odds on this market. Key injuries to star players on either team, significant changes in weather forecasts, or unexpected coaching decisions could all impact predictions. News regarding team morale, player suspensions, or even late-breaking reports about team strategy could also move the market. Public sentiment, as reflected in social media and news coverage, can also play a role, especially as the game approaches. Any information that alters the perceived probability of either team winning will likely be reflected in trading volume and price adjustments.