TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
North Dakota St.
all
2 markets
Kalshi
Polymarket
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 15, 2026
Time left: 12d:04h:04m
$
This group covers the North Dakota State vs. Hawai'i college football game originally scheduled for November 14, 2026. Markets include the winner of the game, point spreads, and over/under totals for the game as a whole and for specific quarters, as well as team totals.
In the upcoming college football game between North Dakota State and Hawai'i, originally scheduled for Saturday, November 14, 2026 at 11:00 PM ET (as of creation of the first market related to the event): This market will resolve to "North Dakota State" if North Dakota State win the game. This market will resolve to "Hawai'i" if Hawai'i 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 winner of the North Dakota State versus Hawai'i college football game scheduled for November 14, 2026. If the contest is postponed but commences within 48 hours of its original scheduled start time, the market remains active and resolves according to the final official result. Should the game be cancelled or fail to start within this 48-hour window, the market will resolve 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, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while this market allows traders to directly express their beliefs about the game's outcome. This can lead to discrepancies, as prediction markets may incorporate information and analysis not fully captured by sportsbook algorithms. It's common to see differences in implied probabilities, especially as new information emerges.
Prices on Polymarket and Kalshi can diverge due to several factors. 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. Each platform has its own user base, trading fees, and liquidity, which can influence price discovery. Additionally, differing market designs – such as the types of contracts offered or the limits on trading – can contribute to price discrepancies. The volume on each platform also plays a role; a market with higher volume generally exhibits tighter spreads and more efficient pricing. These factors combine to create potentially different assessments of the North Dakota State vs. Hawai'i game’s likely outcome.
This market resolves around Nov 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the North Dakota State vs. Hawai'i game, as reported by a trusted source for college football scores. Traders will be able to see the final outcome reflected in the market’s settlement data following the game’s completion, and payouts will be processed accordingly.
Several signals could influence the price of this market before Nov 15, 2026. Any significant news regarding team injuries, changes in coaching staff, or unexpected weather conditions could shift trader sentiment. Game-day updates, such as early line movements from sportsbooks or reports of key player availability, may also impact trading activity. Public perception and media coverage surrounding the North Dakota State vs. Hawai'i game can also play a role, as traders react to new information and adjust their predictions.