TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 5:46 PM EST
Kalshi
This set of markets tracks how many points each team scores in an upcoming college football game. Each market corresponds to a specific point threshold for a team, determining whether they exceed that threshold during the match.
All markets resolve based on the official final point totals for each team in the Old Dominion vs Georgia St. college football game scheduled for Oct 3, 2026. For any market, if the specified team scores strictly more than the stated threshold (e.g., over 13.5 points), that market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, meaning they settle based on an equitable assessment rather than a definitive Yes or No outcome. These rules apply uniformly across all individual point-threshold markets for both teams.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, representing their profit margin. This market, driven by the collective wisdom of traders on Kalshi, aims to represent the true probability of an event occurring, without an inherent profit margin for the venue. While sportsbooks may initially set lines based on statistical models and expert opinions, this market evolves as new information and sentiment emerge, potentially leading to odds that diverge from those offered elsewhere. It's a useful comparison point for informed decision-making.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different outcomes. The price of a contract reflects the market's assessment of the probability of that outcome occurring. As more traders buy a particular outcome, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, indicated by the number of buy and sell orders at various price points, shows how much volume is available at each price level. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both Old Dominion and Georgia State will be sourced from official game statistics. The market will settle based on whether the actual team totals fall above or below the thresholds defined within the market contracts on Kalshi. This ensures a transparent and objective determination of the winning outcome, based on publicly available data following the completion of the game.
Several factors could influence the price movement of this market before it resolves. Any news regarding player injuries or suspensions for either Old Dominion or Georgia State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's playing style, could also shift the odds. Late-breaking news about team strategies or coaching decisions might also cause traders to reassess probabilities. Finally, general shifts in public sentiment, even without concrete news, can influence trading activity and move this market.