TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 7:29 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 Kansas St. vs Arizona St. college football game scheduled for Oct 24, 2026. If Kansas St. wins, markets requiring a win by more than a specified point margin resolve to Yes if the margin exceeds that threshold; otherwise, they resolve to No. Conversely, if Arizona St. wins, markets requiring a win by more than a specified point margin resolve to Yes if Arizona St.'s margin exceeds that threshold; otherwise, they resolve to No. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve based on the final result. If the game fails to start within 48 hours of its original scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under unforeseen circumstances.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on information or perspectives not fully captured by sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while this market allows anyone to trade based on their own insights. Discrepancies can arise from differing opinions on injuries, weather conditions, or even intangible factors like team morale. It's common to see prediction markets react more quickly to new information than traditional sportsbooks, potentially offering a more up-to-date assessment of the likely outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether Kansas State will cover the spread against Arizona State. The price of these contracts fluctuates based on supply and demand, directly reflecting the collective prediction of the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people believe Kansas State will cover, the price of contracts representing that outcome will rise, and vice versa. This dynamic pricing mechanism ensures that the market odds continuously adjust to incorporate new information and changing sentiment.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final score differential between Kansas State and Arizona State will be compared to the spread to determine which side, if any, covered. The result will be based on official game statistics and verified against reliable sources. Traders holding contracts on the winning side will receive a payout, while those on the losing side will forfeit their stake. The market’s resolution is dependent on the completion of the game and the official recording of the final score.
Several factors could significantly influence this market before Oct 24, 2026. Any news regarding key player injuries for either Kansas State or Arizona State would likely cause a shift in the odds. Changes in weather forecasts, particularly if they impact the playing conditions, could also move the market. Unexpected coaching decisions or significant shifts in team performance during other games could also influence trader sentiment. Finally, large-volume trades from informed participants could create momentum and drive price changes, reflecting new information or a change in overall market perception.