TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 3:05 PM EST
Kalshi
This set of markets focuses on predicting the point differential specifically within the third quarter of an upcoming college football game. Each market corresponds to a different threshold of points by which one team might lead or trail another during that quarter.
All markets resolve based solely on points scored during the third quarter of play in the Ball St. vs Ohio St. college football game scheduled for Sep 5, 2026. Each market corresponds to a specific point differential threshold, with 'Yes' resolving if Ohio St. wins the third quarter by more than the stated margin, or if Ball St. wins by more than the stated margin depending on the market. 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 official third-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Often, 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 risk management, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a particular outcome is more likely than sportsbooks suggest, the price in this market will move accordingly. Discrepancies can arise due to differing information, biases, or simply a broader range of perspectives contributing to the prediction market price. It's a useful comparison to see where public sentiment diverges from professional analysis.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the third quarter. 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. Traders are incentivized to accurately predict the outcome, as profitable trades are rewarded. As more traders participate and new information becomes available, the price adjusts to reflect the collective expectation of the final spread. This dynamic pricing mechanism aims to create a highly accurate forecast.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the third quarter of the Ball St. vs Ohio St. game, as determined by official game statistics, will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution process ensures a transparent and objective determination of the market’s outcome based on the official results.
Several factors could influence the price of this market before Sep 5, 2026. Any news regarding injuries to key players on either the Ball St. or Ohio St. teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favoring one team's style of play, could also move the market. Furthermore, any significant shifts in public perception, perhaps driven by expert analysis or media coverage, could influence trading activity and adjust the price. Unexpected line movements in traditional sportsbooks might also prompt traders to reassess their positions.