TOTAL VOLUME:
$154.8b
24H VOL:
$238,896,186
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,934,485
408,127
Markets across
39,552
events
MATCHED EVENTS:
4,429
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 8:54 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between North Dakota State and UNLV. Each market corresponds to a specific margin of victory, allowing participants to assess the potential performance gap between the two teams in the initial half of play.
All markets resolve based solely on points scored during the first half of the North Dakota State versus UNLV college football game scheduled for October 10, 2026. A market resolves to 'Yes' if the specified team wins by more than the stated point margin in that half. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the official result. Should the game fail to start within the 48-hour window, all markets settle at a fair price, reflecting the uncertainty and preventing unresolved outcomes. The markets cover a range of differentials for both teams, from narrow margins like over 1.5 points for North Dakota State to larger margins such as over 17.5 points for UNLV, allowing for varied betting opportunities on the potential scoring dynamics of the first half.
Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and attempt to balance action on both sides, while this market allows anyone to trade based on their own beliefs. Generally, you’ll find that prediction markets are highly efficient and quickly incorporate new information, potentially leading to odds that are more accurate than those offered by sportsbooks. It’s important to compare both to make informed decisions, but remember this market represents a different form of forecasting.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point spreads for the first half. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a particular spread, the price increases, indicating a higher perceived probability. Conversely, selling pressure lowers the price. This dynamic pricing mechanism allows the market to quickly adjust to new information and reflect the collective intelligence of the traders.
This market resolves around Oct 11, 2026, with the outcome confirmed once the official first half spread of the North Dakota St vs UNLV game is verifiable from credible public reporting. The resolution will be based on the official result as reported by the governing body of college football. No further details on the specific data source will be provided, but the outcome will be determined by the actual point difference at the end of the first half of the game, as publicly recorded.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the North Dakota St or UNLV teams would likely cause significant movement. Changes in weather conditions, especially if they are expected to impact the style of play, could also affect the market. Furthermore, any significant public betting activity in sportsbooks, or even shifts in public perception based on pre-game analysis, could influence traders on Kalshi and move the price. Game day developments, such as early scoring drives, would also have an immediate impact.