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%
Closed: Oct 10, 10:34 PM EST
Kalshi
This set of markets tracks the potential margin of victory in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point differential threshold that must be exceeded for the bet to pay out.
All markets resolve based on the official final result of the North Dakota St. vs UNLV college football game scheduled for Oct 10, 2026. For markets predicting North Dakota St. victories, resolution occurs if they win by more than the specified point margin (e.g., over 20.5 points). For markets predicting UNLV victories, resolution occurs if they win by more than the specified point margin (e.g., over 1.5 points). If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the final result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds, but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set their lines based on statistical models and expert analysis, while this market allows anyone to participate and express their beliefs. Discrepancies can arise due to differing risk assessments or the influence of public sentiment. It’s common to see prediction markets move faster than traditional sportsbooks in response to new information, as they’re continuously updated by a large number of participants.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the North Dakota St vs UNLV game. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. Traders are essentially betting on their belief about the final point difference. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price fluctuates based on the collective actions of all participants, creating a dynamic and real-time assessment of the game's likely outcome. The more a spread is bought, the higher its price, and vice versa.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the North Dakota St vs UNLV game, as officially recorded by sports data providers, will determine the winning contracts. Contracts predicting the actual spread will pay out $100, while those predicting a different spread will expire worthless. The resolution process ensures a transparent and objective determination of the market’s outcome based on the official results of the game.
Several factors could influence the price movement of this market before Oct 11, 2026. Any significant news regarding player injuries, changes in coaching strategies, or even weather forecasts could shift trader sentiment. Unexpected announcements about team performance or public statements from key players could also have an impact. Furthermore, large volume trades on Kalshi can quickly alter the price, especially if they indicate a strong conviction about a particular outcome. Monitoring these signals can provide insight into the evolving predictions surrounding the North Dakota St vs UNLV game.