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 17, 4:12 PM EST
Kalshi
The first quarter of a college football game between Georgia Tech and Virginia Tech will determine the winner based on which team scores more points in that segment.
The market resolves based on which team scores more points in the first quarter of the Georgia Tech vs Virginia Tech college football game scheduled for Oct 17, 2026. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves according to the official result. If the game does not start within 48 hours, the market resolves to a fair price. Points scored only during the first quarter count towards the outcome.
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 aim to balance action on both sides, while this market allows anyone to trade based on their own information and beliefs. If a significant number of traders believe a sportsbook is mispricing a team’s chances, they can take the opposite position in this market. This can lead to discrepancies, with this market potentially offering a more accurate forecast, especially as the event approaches and more information becomes available.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s collective assessment of that outcome’s likelihood. As more traders participate, the price adjusts to reflect new information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what traders are willing to pay for exposure to a particular outcome, and it’s constantly fluctuating based on supply and demand. This dynamic pricing mechanism aims to provide a real-time assessment of the event’s potential results.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first quarter of the Virginia Tech vs Georgia Tech game will be declared the winner for this market. The resolution will be based on official game statistics and results, as reported by recognized sports authorities. This ensures a transparent and objective determination of the winning outcome, based on the actual performance during the specified period of the game.
Several factors could influence the trading activity in this market. News regarding injuries to key players on either the Virginia Tech or Georgia Tech team would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game, could also shift the odds. Additionally, any pre-game analysis from sports analysts or unexpected developments in team strategies could influence trader sentiment and impact the price of contracts in this market. Public perception and late-breaking news are also potential catalysts.