TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:23h:24m
$
This event group centers on the college football game between Illinois State and North Dakota, scheduled for November 7, 2026. Markets exist to predict the winner of the game, as well as the margin of victory (spread) and the total points scored. The markets provide a range of opportunities to speculate on the outcome and specific aspects of the game.
In the upcoming college football game between Illinois State and North Dakota, scheduled for November 7 at 2:00PM ET: This market will resolve to "Illinois State" if Illinois State win the game. This market will resolve to "North Dakota" if North Dakota win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
If North Dakota wins the Illinois St. vs North Dakota college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes. If Illinois St. wins the Illinois St. vs North Dakota college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes.
In the upcoming college football game between Illinois State and North Dakota, scheduled for November 7 at 2:00PM ET: This market will resolve to "Illinois State" if Illinois State win the game. This market will resolve to "North Dakota" if North Dakota win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Kalshi for this market, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by genuine belief and information aggregation. This can lead to prediction market prices being more efficient and reflecting a more accurate probability of an outcome. However, sportsbook odds are readily available and often influence initial trading in prediction markets. The difference between these odds can present arbitrage opportunities for informed traders.
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. Prices on Polymarket and Kalshi may diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information, influencing trading behavior. Additionally, the liquidity and volume on each platform can impact price discovery. Different market structures and fee schedules on Polymarket versus Kalshi also contribute to price discrepancies. Finally, variations in the interpretation of available information regarding the Illinois State vs. North Dakota game can lead to differing probabilities assessed by traders on each platform.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Illinois State vs. North Dakota game will be used to determine the winning outcome. The final score, as reported by official sources, will be the basis for settlement. Traders should monitor official announcements to stay informed about the event's progress and ensure a smooth resolution process. This allows for a transparent and objective assessment of the market's accuracy.
Several signals could impact this market before Nov 7, 2026. Any news regarding player injuries or suspensions for either Illinois State or North Dakota would likely cause significant movement. Changes in coaching strategies or unexpected team performance in preceding games could also shift probabilities. Public sentiment, reflected in betting trends and media coverage, can influence trading activity. Major upsets in other college basketball games might also indirectly affect this market as traders reassess overall team strength and potential outcomes, impacting the Illinois State vs. North Dakota game.