TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 11:04 PM EST
Kalshi
This market tracks whether Baylor will win their college football game against UCF by more than 2.5 points. Currently, the probability of Baylor winning by over 2.5 points on Kalshi is 99.0%. The market will resolve based on the outcome of the Baylor vs UCF college football game, with resolution details found in the provided resolution source. Participants should closely watch the game itself, as the market resolves to Yes if UCF wins by more than 10.5 points, and the resolution date estimate is October 31, 2026, representing the end of the betting period following the game.
All markets resolve based on the official final score of the Baylor vs UCF college football game scheduled for October 30, 2026. Each market has a specific point differential threshold; if the winning team exceeds this threshold, the market resolves to Yes, otherwise to No. For markets where UCF is the potential winner, the condition is that UCF must win by more than the specified points. Conversely, for markets where Baylor is the potential winner, Baylor must win by more than the specified points. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve based on the final result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point spread condition.
Generally, prediction market odds tend to reflect the 'wisdom of the crowd,' often converging towards more accurate probabilities than traditional sportsbook odds, particularly as the event approaches. Sportsbooks incorporate a 'vig' or commission into their odds, while Kalshi allows traders to directly express their beliefs. However, initial sportsbook lines can sometimes influence early trading activity in this market. It's common to see discrepancies, especially before significant betting action occurs, as differing information and opinions are weighed.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different point spreads for the Baylor vs UCF game. The price of each contract indicates the probability of that particular spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the collective assessment of the likely outcome. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded.
This market resolves around Oct 31, 2026, with the outcome confirmed once the final point spread of the Baylor vs UCF game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. The contracts will then pay out based on whether the actual spread falls within the range represented by the purchased contracts. Traders will receive $1 per share for winning contracts and lose their initial investment on losing contracts.
Several factors could influence the price of this market. News regarding key player injuries for either Baylor or UCF would likely cause significant movement. Changes in coaching strategies or unexpected team performance in preceding games could also shift market sentiment. Public perception, influenced by expert analysis and media coverage, can also play a role. Finally, large volume trades on Kalshi itself could create short-term price fluctuations as traders react to new information or attempt to capitalize on perceived mispricings.