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 31, 9:21 PM EST
Kalshi
This market focuses on predicting the point differential specifically within the third quarter of an upcoming college football game. Bettors can choose from various point spreads to wager on which team will dominate the scoring in that quarter. The outcome depends entirely on the points scored during the third quarter, regardless of the final game result.
The event determines whether either Washington State University (WSU) or San Diego State University (SDSU) achieves a specified point differential victory margin exclusively during the third quarter of their college football game scheduled for October 31, 2026. Ten separate outcome thresholds exist, ranging from 'wins by over 2.5 points' to 'wins by over 10.5 points,' for both teams. A market resolves to 'Yes' only if the named team secures the stated point-spread advantage solely within the third quarter's scoring. All markets share consistent secondary rules: solely third-quarter points count toward resolution; if the game is postponed but commences within 48 hours of its original schedule, the market remains active and resolves based on the official result; if the game fails to start within 48 hours of its scheduled time, all markets resolve at a fair price. Kalshi explicitly disclaims any affiliation with the NCAA, and all team trademarks remain property of their respective owners.
Typically, prediction market odds reflect a wisdom-of-the-crowd perspective, often differing from initial sportsbook lines. Sportsbooks set lines to balance action, while this market aggregates the beliefs of informed traders. Early in the market, you might see discrepancies as sportsbooks react to initial news and public betting. As the event approaches, this market tends to converge with sportsbook odds, especially if significant money flows in from sharp bettors. However, prediction markets can sometimes offer more accurate forecasts, particularly when there's a strong informational advantage among traders.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the Washington State vs. San Diego State 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 provide accurate predictions, as profitable traders are rewarded. The more traders who believe a particular outcome is likely, the higher the price of its corresponding contract will rise, and vice versa. This dynamic pricing mechanism creates a real-time assessment of the event’s potential results.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official 3rd quarter spread as determined by official game statistics. The final spread will be calculated based on the point difference between the two teams at the end of the third quarter. Traders will then be paid out based on whether their purchased contracts align with the actual result. The platform will verify the outcome against established sports data sources.
Several factors could influence the Washington State vs. San Diego State spread market. Any news regarding key player injuries on either team would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game, could also shift the odds. Major betting patterns from sophisticated sports bettors, or even large-volume traders on Kalshi, can also influence the market. Finally, any late-breaking news related to team strategy or coaching decisions could also cause the market to react and adjust its predictions.