TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 1:41 PM EST
Kalshi
These markets focus on predicting the margin of victory for either Baylor or Kansas within the first quarter of their college football game. Each outcome represents a different point differential threshold that must be exceeded for the market to settle positively.
All markets resolve based solely on points scored during the first quarter of the Baylor vs Kansas college football game scheduled for October 24, 2026. A 'Yes' outcome occurs when the winning team exceeds the specified point differential threshold defined in each individual market—ranging from over 2.5 points to over 10.5 points. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the actual first-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point-spread thresholds listed.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on their own models and aim to balance action on both sides, while this market aggregates the opinions of many individual traders. This can lead to prediction market prices being more accurate, especially as the event approaches and more information becomes available. However, sportsbook odds are readily accessible and often offer promotional incentives, which can influence betting behavior and create temporary discrepancies with the prices seen in this market.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the Baylor vs Kansas 1st quarter spread. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. The more buyers for a particular spread, the higher its price, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of those trading it.
This market resolves around Oct 24, 2026, with the outcome confirmed once the actual first quarter spread of the Baylor vs Kansas game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. Traders who correctly predicted the spread will receive a payout based on the contract price at the time of resolution. It’s important to monitor official sources for the final result, as this will determine the settlement of all outstanding contracts in this market.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Baylor or Kansas teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game’s style of play, could also move the market. Furthermore, late-breaking news about team strategies or coaching decisions might cause traders to adjust their positions. Public sentiment, as reflected in polls or expert analysis, can also contribute to price fluctuations in this market.