TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 5:26 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Each market corresponds to a specific margin by which one team might lead over the other at halftime, allowing participants to assess various possible scoring outcomes.
All markets resolve based solely on points scored during the first half of the BYU vs UCF college football game scheduled for October 24, 2026. For any market where the specified team wins by more than the stated point margin in the first half, that market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the actual first-half result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, reflecting an equitable adjustment rather than a simple Yes or No outcome. These rules apply uniformly across all specified point differentials for both teams.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially as the event approaches. Sportsbooks set initial lines based on their own analyses, but can be influenced by factors like public betting patterns and risk management. This market, like others on Kalshi, allows individuals to express their beliefs, potentially leading to a more refined probability assessment compared to a single sportsbook’s offering. However, differences can exist due to varying levels of information and market participation.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of the outcome occurring – in this case, BYU winning by more than the spread. As more people buy contracts predicting a BYU win, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and order flow provide insights into the collective expectations of traders regarding the BYU vs UCF game. The current price reflects the aggregated beliefs of all participants on Kalshi.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final result of the first half spread in the BYU vs UCF game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Traders who correctly predicted the outcome will receive a payout based on the final contract price at resolution. The platform will verify the result against established sources to ensure accuracy and transparency.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either BYU or UCF would likely cause significant movement. Changes in weather forecasts, particularly if they impact the passing or running game, could also shift trader sentiment. Unexpected announcements about coaching strategies or team morale might also play a role. Finally, large volume trades on Kalshi themselves can create price fluctuations as traders react to perceived information or momentum.