TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 2:00 PM EST
Kalshi
This market focuses on predicting the outcome of a specific segment of a college football game between Ohio State and Indiana. It evaluates whether one team will dominate the other by a certain margin of points during a particular quarter, reflecting strategic performance and scoring dynamics in that timeframe.
The market resolves based on the point differential between Ohio State and Indiana exclusively during the second quarter of their game scheduled for October 17, 2026. Any outcome where the winning team secures a lead exceeding the specified point threshold—whether Ohio State wins by more than 2.5, 3.5, 6.5, 7.5, or 10.5 points, or Indiana wins by more than 2.5, 3.5, 6.5, 7.5, or 10.5 points—is sufficient for resolution to 'Yes.' Should the game be postponed but commence within 48 hours of its original schedule, the market remains active and resolves according to the official result. If the game fails to start within this window, the market resolves at a fair price, ensuring transparency and fairness regardless of external scheduling disruptions.
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, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. While there can be alignment, prediction markets sometimes offer different probabilities than sportsbooks, potentially revealing insights that aren't fully captured by conventional betting lines. These differences can be particularly noticeable when public sentiment strongly deviates from expert analysis.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread in the second quarter of the Ohio State versus Indiana game will determine the winning contracts. The resolution will be based on the official game statistics as reported by a trusted sports data source. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding losing contracts will forfeit their investment. The exact payout amount depends on the price paid for the contract.
Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either the Ohio State or Indiana teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Furthermore, late-breaking news about team strategies or coaching decisions might cause traders to reassess the probabilities. Public perception, influenced by media coverage and expert analysis, can also play a role in driving price movements in this market.