TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 6:45 PM EST
Kalshi
This market tracks whether UNLV will win against Air Force by more than 1.5 points in their upcoming college football game. Currently, Kalshi gives a 49.0% probability to UNLV winning by over 1.5 points, while Air Force winning by over 1.5 points is at 47.0%. The market resolves based on the outcome of the UNLV vs Air Force college football game originally scheduled for Oct 17, 2026, as reported by the game’s final score. Keep a close eye on the game itself on October 17, 2026, as that is when the betting period and event window will close and the market will be settled.
All markets resolve based on the official final result of the UNLV vs Air Force college football game scheduled for October 17, 2026. If UNLV wins by a margin exceeding the specified threshold, the corresponding UNLV markets resolve to Yes; if Air Force wins by a margin exceeding its specified threshold, those markets resolve to Yes. If neither team meets their respective threshold, all markets resolve to No. Postponements are permitted if the game commences within 48 hours of the original start time, with resolution 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.
Typically, prediction market odds reflect the wisdom of the crowd and can often be more accurate than initial sportsbook lines. Sportsbooks set their odds to attract balanced betting action and incorporate a profit margin, while this market aggregates the beliefs of many individual traders. However, sportsbook odds are readily available and represent another data point when forming your own opinion. It’s common to see this market and sportsbook lines converge as the event approaches and more information becomes available, though differences can persist due to varying information and risk assessments.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the UNLV vs Air Force game. The price of each contract reflects the probability of that spread being the final result. 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. As more traders participate and new information emerges, the price adjusts to reflect the collective expectation of the market. This dynamic pricing mechanism aims to create a highly efficient and informative forecast.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the UNLV vs Air Force game, as determined by official game statistics, will be used to determine which contracts pay out. Contracts predicting the correct spread will settle at 100, while those predicting an incorrect spread will settle at 0. The resolution process ensures a transparent and objective determination of the market’s outcome based on the actual game results.
Several factors could influence the price of this market before the game takes place. News regarding injuries to key players on either the UNLV or Air Force teams would likely have a significant impact. Changes in weather forecasts, particularly if they are expected to affect the game’s conditions, could also shift the market. Additionally, any major news or analysis about team strategies or coaching decisions could influence trader sentiment and lead to price movements. Public perception, as reflected in polls or expert predictions, can also contribute to shifts in this market.