TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 12:53 PM EST
Kalshi
This event tracks the performance of two college football teams in the first quarter of their matchup, focusing on the margin of victory for either side. It reflects how bettors and analysts might evaluate early-game dominance and strategic advantages between the teams.
The event consists of multiple markets, each defined by a specific point differential threshold that must be met or exceeded by either North Carolina or Clemson in the first quarter of their college football game scheduled for September 19, 2026. A market resolves to 'Yes' if the specified team wins the first quarter by more than the designated point spread. For instance, markets range from thresholds as low as 2.5 points to as high as 10.5 points, offering various levels of difficulty for each outcome. All markets exclusively consider points scored during the first quarter; subsequent quarters do not affect resolution. If the game is postponed but commences within 48 hours of the original scheduled start time, all markets remain active and resolve based on the official result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants. The markets are independent of any official NCAA affiliation, and all trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows traders to openly express their beliefs about the outcome. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of trading. If a significant difference exists between this market and sportsbook lines, it might signal an opportunity for arbitrage, where traders can profit by exploiting the price difference. However, it’s important to consider the volume and liquidity of this market when evaluating such opportunities.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. As more traders buy contracts predicting a certain spread, the price increases, indicating a higher perceived likelihood of that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, providing a real-time assessment of the game's potential first-quarter spread. Traders can set their own bid and ask prices, influencing the overall market price.
This market resolves around Sep 19, 2026, with the outcome confirmed once the actual first-quarter spread of the North Carolina vs Clemson football game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. The contract corresponding to the actual first-quarter spread will pay out $100, while all other contracts will settle to $0. Traders should monitor official sources for the final result to understand the settlement of their positions in this market.
Several factors could influence the price of this market leading up to Sep 19, 2026. News regarding injuries to key players on either the Clemson or North Carolina football teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the market. Publicly released analysis from sports analysts or updated power rankings might sway trader sentiment. Finally, any significant betting activity or large trades on Kalshi itself could cause noticeable price movements as traders react to new information or adjust their positions.