TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 6:55 PM EST
Kalshi
These markets track how decisively Washington State might win against Duquesne in an upcoming college football game. Each market corresponds to a different point margin threshold, allowing participants to speculate on the scale of Washington State's potential victory.
All markets resolve based on the official point differential from the Duquesne vs Washington State college football game scheduled for September 19, 2026. For any market, if Washington State wins by more than the specified point margin, it resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the final 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 under these contingency conditions.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set their lines based on their own models and risk management, while this market aggregates the predictions of many individuals. If a significant discrepancy exists between the two, it may indicate that the market believes the sportsbook has mispriced the event. However, both aim to accurately reflect the probability of different outcomes, and it’s common to see them converge as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the market’s assessment of the probability of that spread occurring. As more traders buy contracts for a particular spread, the price 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 its predictions as the event draws nearer. The current price indicates what traders collectively believe is the most likely outcome.
This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread will be determined by the official result of the Duquesne vs Washington State game. The market will then pay out to contract holders based on whether the actual spread falls within the range represented by their purchased contracts. The resolution process ensures a transparent and objective determination of the outcome, based on the official game results.
Several factors could influence the price of this market before the game takes place. Any news regarding injuries to key players on either the Duquesne or Washington State teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game, could also shift the market. Public perception, reflected in polls or expert analysis, can also play a role, as can large volume trades on Kalshi. Unexpected announcements about team strategies or coaching changes could also contribute to price fluctuations.