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Closed: Sep 20, 12:50 AM EST
Kalshi
These markets focus on predicting the point differential in the third quarter of a college football game between Northern Illinois and Arizona. Each outcome represents a different threshold for how many points the winning team must score more than the opponent during that specific quarter to settle the market.
All markets resolve based solely on points scored during the third quarter of play in the Northern Illinois vs Arizona college football game scheduled for September 19, 2026. A 'Yes' outcome occurs if the specified team's third-quarter point differential exceeds the stated threshold—ranging from more than 2.5 to more than 23.5 points—for that particular market. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official third-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds listed.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to express their own beliefs about the likely outcome. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of each market. It's common to see prediction markets move faster to incorporate new information than sportsbooks, potentially offering a more accurate reflection of probabilities as the game approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. 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, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their beliefs align with the actual outcome. This dynamic process creates a market-driven forecast for the Northern Illinois vs Arizona third quarter spread.
This market resolves around Sep 20, 2026, with the outcome confirmed once the final third quarter spread of the Northern Illinois vs Arizona 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 platform will then determine which contracts payout based on whether the actual spread fell within the range predicted by each contract. The final score and official statistics will be the basis for determining the winning contracts.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Northern Illinois or Arizona teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's style of play, could also move the market. Furthermore, late-breaking news about team strategies or coaching decisions might cause traders to adjust their expectations, leading to price fluctuations. Public sentiment and analysis from sports commentators could also play a role.