TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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UNLV vs Air Force
kalshi

What is the result of UNLV vs Air Force?

Volume:
$1,369,390

Air Force

 - Kalshi

Air Force - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:45 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Air Force

View
100%
50%
Yes 100¢No 0¢
—
N/A
$647,136
N/A
N/A
$347,644
Settled
Yes
kalshi

UNLV

0%
51%
Yes 0¢No 100¢
—
N/A
$722,254
N/A
N/A
$365,922
Settled
No
Total markets: 2

Intro

This market tracks whether Air Force will win its college football game against UNLV. Currently, the probability of Air Force winning on Kalshi is 96.0%, while UNLV winning is at 4.0%. The market will resolve based on the outcome of the UNLV vs Air Force game originally scheduled for October 17, 2026, as determined by the official game results. Keep a close watch on the game itself, as the result on October 17, 2026 will directly determine the market’s resolution.

Kalshi

The market resolves to Yes if either UNLV or Air Force wins the college football game scheduled for Oct 17, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the UNLV vs Air Force game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time. Currently, the total volume traded on this market is $1,366,007, with $1,298,375 traded in the last 24 hours. This provides a real-time view of where traders are placing their bets and how sentiment is changing leading up to the game. The dashboard is a key resource for anyone interested in understanding the market's expectations for the outcome.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of a diverse group of traders. Frequently, prediction markets are more accurate than traditional point spreads, especially when considering the 'wisdom of the crowd' effect. However, sportsbook odds are readily available and can serve as a useful benchmark when evaluating the potential value in this market. It’s important to note that discrepancies can arise due to differing information and incentives.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the market's assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective intelligence of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a continuous double auction, meaning prices are determined by the highest bid and lowest ask at any given moment. This dynamic pricing mechanism allows for efficient price discovery and provides a transparent view of market sentiment.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the UNLV vs Air Force game will be used to determine the winning contract. It’s important to remember that the resolution process relies on publicly available information to ensure a fair and transparent outcome. Traders should monitor news sources and official game results as the resolution date approaches to stay informed about any potential factors that could influence the final determination.

Several signals could significantly move this market before resolution. Any news regarding key player injuries, changes in coaching strategies, or unexpected weather conditions could impact trader sentiment. Furthermore, significant betting activity from informed traders or large volume spikes could also cause price fluctuations. Public opinion shifts, as reflected in polls or expert analyses, might also play a role. Monitoring these factors will be crucial for understanding potential shifts in the market’s assessment of the UNLV vs Air Force game’s likely outcome.