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%
Time left: 11d:22h:44m
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This prediction group covers the San Jose State vs. Air Force college football game scheduled for November 14, 2026. Markets include the winner of the game, point spreads, and over/under totals for points scored by both teams and in specific game quarters, as well as team totals.
In the upcoming college football game between San Jose State and Air Force, originally scheduled for Saturday, November 14, 2026 at 7:00 PM ET (as of creation of the first market related to the event): This market will resolve to "San Jose State" if San Jose State win the game. This market will resolve to "Air Force" if Air Force win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The market resolves based on the result of the San Jose State versus Air Force college football game scheduled for November 14, 2026. If either team wins the game as officially determined, the corresponding market will resolve to Yes. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final, official result. Should the game be cancelled or fail to start within the 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies that it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
Prediction market odds often differ from traditional sportsbook odds due to the nature of how each is determined. Sportsbooks set lines to balance action and incorporate a profit margin, while this market relies on the collective predictions of informed traders. This can lead to prediction markets being more accurate, especially when a significant amount of volume is traded. However, sportsbooks often have limits on bet sizes, whereas prediction markets generally allow for larger positions. Both offer valuable insights, but they are driven by different mechanisms and attract different types of participants.
On Polymarket, traders set the odds by directly bidding on potential outcomes, while Kalshi uses a different mechanism for price discovery. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. This means that even for the same event, the resulting prices can vary based on the specific trading dynamics and user base of each platform. Differences in liquidity—the amount of volume traded—can also contribute to price discrepancies. Furthermore, each platform may attract different types of traders with varying levels of expertise and information, leading to differing assessments of probabilities. Currently, Polymarket currently favors San Jose State vs. Air Force: O/U 35.5 at 100.0%, while Kalshi leans toward Air Force wins at 79.0%.
This market resolves around Nov 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the San Jose State vs. Air Force game will be used to determine the winning outcome in this market. The resolution will be based on official game results, ensuring a transparent and objective determination. Traders should monitor reputable sports news sources for the official confirmation of the game’s conclusion, as this will trigger the market’s settlement process.
Several factors could influence the price of this market before it resolves. Any significant news regarding team injuries, changes in coaching staff, or unexpected weather conditions could shift trader sentiment. Game-day performance, such as early scoring drives or key player matchups, will also likely cause fluctuations. Public opinion and media coverage can also play a role, especially if there’s a sudden shift in perceived momentum. Monitoring these signals will be crucial for understanding how the market is reacting to new information and potentially identifying trading opportunities.