TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:56 PM EST
Kalshi
This event tracks various thresholds of points scored in the final quarter of a college football matchup, allowing participants to assess the likelihood of different scoring levels in the last period of play.
All markets resolve based on the total points scored by both teams combined during the 4th quarter (excluding overtime) of the TCU vs Baylor college football game scheduled for October 17, 2026. Each market corresponds to a specific point threshold, resolving to 'Yes' if the combined score exceeds that threshold. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook lines. Sportsbooks set their odds based on models and internal analysis, while this market aggregates the views of many individual traders. It's common to see differences emerge, particularly as new information becomes available or public sentiment shifts. Comparing the two can be a useful exercise for informed decision-making, though it’s important to remember that both represent probabilities, not guarantees, of the final score in the TCU vs Baylor 4th quarter.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the 4th quarter of the TCU vs Baylor game will be used to determine whether the total points scored fall above or below the threshold defined by the contracts traded on Kalshi. The resolution will be based on official game statistics and will be reported by reliable sports news sources, ensuring an objective and verifiable outcome for all participants in this market.
Several factors could influence trading activity and move this market before resolution. Injury reports for key players on either the TCU or Baylor teams would be significant, as they could impact scoring potential. Game day weather conditions, such as heavy rain or strong winds, could also affect the style of play and the final score. Even late-breaking news regarding team strategies or coaching decisions could sway traders' opinions and alter the price of contracts in this market. Any unexpected developments leading up to and during the game have the potential to shift the probabilities reflected in the market.