TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 6:16 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Oregon or Illinois in the second half of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the second half, including any overtime periods.
All markets resolve based solely on points scored during the second half of play, including any overtime periods. If Oregon wins the game, markets specifying Oregon winning by more than a certain number of points will resolve to Yes if the point differential meets or exceeds that threshold. Conversely, if Illinois wins, markets specifying Illinois winning by more than a certain number of points will resolve to Yes if their point differential meets or exceeds the specified threshold. Should the game be postponed but commence within 48 hours of its original scheduled start time, all markets remain open and resolve based on the official final result. If the game fails to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential conditions outlined in individual markets.
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 often incorporate a profit margin, while this market is driven by individuals trading on their own beliefs. If a significant discrepancy exists between the two, it may present an opportunity for arbitrage, where traders can profit by simultaneously buying and selling on both venues. However, it’s important to remember that prediction markets are forward-looking and incorporate information as it becomes available, potentially leading to faster adjustments than sportsbooks.
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 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 into a particular spread, its price increases, indicating a higher perceived probability. Conversely, selling pressure drives the price down. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of those trading on the event’s outcome, providing a real-time assessment of the likely second-half spread.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the second half of the Oregon vs Illinois game will be used to determine which contracts settle at 100, and which settle at 0. The official result, as reported by a trusted sports data source, will be the basis for payout. Traders holding contracts on the correct spread will receive a payout, while those holding contracts on incorrect spreads will not.
Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either Oregon or Illinois would likely cause significant movement, as would updates on team strategies or weather conditions expected during the game. Unexpected shifts in public sentiment, perhaps driven by analyst predictions or social media discussions, could also impact trading activity. Finally, as the game approaches and more information becomes available, the market will likely become more volatile, reflecting increased confidence—or uncertainty—about the final second-half spread.