TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 2:14 AM EST
Kalshi
The event centers around a college football game that may include additional playing time beyond the regular duration. This extra period is used when the score is tied at the end of the usual playing time, allowing teams an opportunity to continue competing for a victory. The occurrence of such an extension determines the nature of the event's conclusion.
If at least 1 overtime period is played in the Georgia Tech vs Stanford college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective prediction of informed traders. Often, prediction markets are more accurate than traditional point spreads, especially when considering the 'wisdom of the crowd' effect. However, sportsbook odds can be influenced by public betting patterns and promotional offers, creating potential discrepancies with this market's pricing. It's important to consider both sources when forming your own opinion.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the likelihood of overtime. The price of a contract reflects the probability of that outcome 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. The more traders believe overtime is likely, the higher the contract price will climb, and vice versa. This creates a dynamic pricing mechanism driven by supply and demand, allowing traders to express their beliefs and profit from correctly anticipating the event's outcome.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether overtime occurs during the Georgia Tech versus Stanford game. The official game results, as reported by a trusted sports news source, will be used to determine the winning contract. The platform will verify the information and settle the market accordingly, distributing payouts to traders who correctly predicted the outcome.
Several factors could influence this market leading up to the game. Any news regarding key player injuries for either Georgia Tech or Stanford would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is anticipated, could also impact the market, as weather can affect game strategy and scoring. Additionally, late-breaking news about coaching decisions or team morale could shift trader sentiment. Finally, any significant betting activity in sportsbooks could draw attention to this market and potentially influence trading behavior.