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 10, 5:01 PM EST
Kalshi
These markets track the total points scored by both teams in the first quarter of an upcoming college football game. Each market has a different threshold for the total points needed to achieve a 'Yes' outcome.
All markets resolve based on the total points scored by both teams combined during the first quarter of the Maryland vs Ohio State college football game scheduled for October 10, 2026. Each market has a specific threshold (ranging from over 2.5 points to over 27.5 points); if the combined score exceeds the threshold, the market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the actual result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Only points scored in the first quarter count toward these outcomes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds due to varying information and incentives. Sportsbooks set lines based on their own models and need to account for profit margins, while this market is driven by individuals trading on their beliefs. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing this market to sportsbook lines can reveal areas where the crowd disagrees with experts, offering potential value for informed traders.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions. The price of a contract indicates the probability of that outcome 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 participate and new information becomes available, the price adjusts to reflect the collective expectation. This dynamic pricing mechanism allows for a real-time assessment of the likely first quarter total in the Maryland vs Ohio State game.
This market resolves around Oct 10, 2026, with the outcome confirmed once the official first quarter total of the Maryland vs Ohio State game is verifiable from credible public reporting. The final score will be sourced from official game statistics and used to determine which contracts pay out. Traders holding contracts corresponding to the correct first quarter total will receive a payout based on the market price at resolution, while those holding losing contracts will forfeit their investment.
Several factors could influence this market before resolution. Any news regarding key player injuries for either the Maryland or Ohio State teams would likely cause significant price movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s offensive style, could also impact trading activity. Additionally, late-breaking news about coaching strategies or team morale could shift market sentiment. Public perception, as reflected in polls or expert analysis, might also contribute to fluctuations in the price of contracts.