TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 6:45 PM EST
Kalshi
This set of markets tracks the point margin by which either Old Dominion or Georgia State wins their upcoming college football game. Each market corresponds to a specific point differential threshold, allowing participants to bet on whether the winning team will exceed that margin.
All markets resolve based on the official point differential from the Old Dominion vs Georgia State college football game scheduled for October 3, 2026. For Old Dominion markets, resolution occurs if ODU wins by more than the specified points; for Georgia State markets, resolution occurs if GAST wins by more than the specified points. If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve based on the final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing uncertainties.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven by individuals willing to put their capital behind their beliefs. If a significant discrepancy exists between this market and sportsbook lines, it may indicate differing opinions on the likely result of the game. However, as the event approaches, these odds often converge as more information becomes available and public sentiment solidifies.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the Old Dominion vs Georgia State game. The market will settle to 100 if the Old Dominion wins by more than the spread, 0 if they lose by more than the spread, and a value between 0 and 100 proportional to the difference if the result falls within the spread. The outcome will be based on the official game statistics.
Several factors could influence the price of this market before Oct 4, 2026. News regarding player injuries, changes in coaching strategies, or even weather forecasts could all impact market sentiment. Unexpected announcements about team dynamics or significant shifts in public perception based on pre-game analysis could also cause price movements. Furthermore, large volume trades on Kalshi can quickly shift the price, especially if they signal informed betting activity. Monitoring these signals will be key to understanding potential shifts in the market.