TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 11:04 PM EST
Kalshi
This market predicts whether the total points scored in the Baylor versus UCF college football game will exceed 28.5. Currently, the “Full Game: Over 28.5 points scored” outcome is trading at 99.0% on Kalshi. Resolution will be determined based on the final score of the game, as defined by whether the teams collectively score more than 40.5 points, according to the resolution source. Keep an eye on the game itself, as the market will resolve following its completion on or around October 31, 2026, the estimated date of the game’s conclusion.
All markets resolve based on the total points scored by both teams combined in the Baylor vs UCF college football game scheduled for October 30, 2026. For any market, if the combined score exceeds the specified threshold (e.g., Over 28.5 points, Over 31.5 points, etc.), it resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final official result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific scoring threshold they selected.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s immediately available to sportsbooks. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to participate and express their view, potentially leading to more accurate predictions. It’s common to see prediction market prices move differently than sportsbook odds as new information emerges or public sentiment shifts, though both are attempting to forecast the same event outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point totals for the Baylor vs UCF game. The price of a contract reflects the probability of that specific point total occurring. As more people buy contracts predicting a higher point total, the price of those contracts increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches. The current price indicates what traders collectively believe is the most likely outcome.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point total scored in the Baylor vs UCF game, as reported by official sources, will determine whether contracts predicting over or under a certain point total will pay out. The resolution will be based on the official game statistics and will be publicly available following the conclusion of the game. Traders will then receive their payouts based on the final result.
Several factors could influence the price of contracts in this market. Any news regarding key player injuries for either Baylor or UCF would likely have a significant impact, as this affects the teams’ scoring potential. Changes in weather forecasts, particularly if severe weather is expected during the game, could also move the market. Additionally, late-breaking news about coaching strategies or team morale, or even significant shifts in public betting patterns at sportsbooks, could all contribute to price fluctuations in this market before Oct 31, 2026.