TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 11:14 PM EST
Kalshi
This set of markets focuses on predicting the total points scored by both Georgia Tech and Stanford in the first quarter of their college football game. Each market corresponds to a different threshold of points, allowing participants to speculate on how high or low the scoring might be in that specific segment of the game.
The markets resolve based on whether the combined points scored by both teams in the first quarter exceed specified thresholds, ranging from 2.5 to 27.5 points. Only points scored during the first quarter count. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the actual result. If the game does not start within 48 hours, the markets resolve to a fair price. All markets are independent, each with its own threshold, and resolution depends solely on the first-quarter scoring outcome.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to freely express their beliefs. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of each market. It's common to see this market adjust rapidly to new information, such as injury reports or weather forecasts, potentially leading to odds that diverge from initial sportsbook offerings.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first quarter of the Georgia Tech vs Stanford football game will be used to determine the winning contracts. Specifically, the total points scored by both teams in the first quarter will be compared to the contract values offered on Kalshi. The market will settle based on the official game statistics as reported by a trusted sports data source.
Several factors could significantly influence this market. Any news regarding key player injuries for either Georgia Tech or Stanford would likely cause price fluctuations. Changes in weather forecasts, particularly if they suggest heavy rain or strong winds, could also impact scoring expectations. Late-breaking news about coaching strategies or team morale might also move the market. Finally, as the game approaches, any significant betting activity or public sentiment shifts observed on Kalshi could contribute to price changes.