TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 10:09 PM EST
Kalshi
This event tracks how many points each team scores in a specific college football game, allowing participants to predict whether a team will exceed various scoring thresholds. The outcome depends solely on the official game result, with adjustments for postponements under certain conditions.
The event evaluates multiple scoring thresholds for both teams in the Baylor vs UCF college football game scheduled for October 30, 2026. Each threshold represents a distinct market that resolves to 'Yes' if the specified team scores more than the designated point total during the game. All markets share consistent secondary rules: if the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final official result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold they selected.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows participants to freely trade based on their own analysis and information. If a significant discrepancy emerges between this market and sportsbook lines, it may indicate that prediction market traders believe the sportsbook is mispricing the probability of certain outcomes. It's common to see convergence as the event approaches, but divergences can present opportunities for informed traders.
On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different team total outcomes. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective intelligence of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Price movements are driven by new information, shifts in sentiment, and the actions of other traders, creating a dynamic and responsive pricing mechanism for the Baylor vs UCF team totals.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both Baylor and UCF will be sourced from official game statistics. The market will settle based on whether the actual team totals exceed or fall short of the specified thresholds offered in the market contracts. This ensures a transparent and objective resolution process, reflecting the actual results of the game.
Several factors could influence trading activity in this market. News regarding player injuries, changes in coaching strategies, or even weather forecasts could all impact the perceived probabilities of different team total outcomes. Unexpected announcements about team lineups or significant performance shifts during other games could also trigger movement. Furthermore, large trades executed by individual participants on Kalshi can create short-term price fluctuations, and overall market volume will reflect the level of interest and conviction surrounding the event.