TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 7:00 PM EST
Kalshi
The event involves a college football game originally scheduled for a specific date. The outcome depends on whether the game goes into overtime play. This determines the resolution of the related condition.
If at least 1 overtime period is played in the Stanford vs Louisville college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of informed traders, and can differ from those offered by sportsbooks. Sportsbooks set lines to balance their risk and ensure profit, incorporating a margin. This market, however, is driven by individuals willing to put their money behind their beliefs, potentially leading to more accurate probabilities, especially as more information becomes available. Discrepancies can arise due to differing opinions, access to information, and the incentive structures of each venue. It’s common to see prediction markets move more quickly to incorporate new information than traditional bookmakers.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy contracts predicting a specific result, the price goes up, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the event approaches. The current market reflects the aggregated beliefs of those actively trading on Kalshi.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the final result of the Stanford vs Louisville game, including any overtime periods. The platform will verify the result against official sources to determine the winning outcome. Traders who correctly predicted the result will receive a payout based on the final contract price at resolution. It's important to monitor the event closely as the resolution date approaches.
Several factors could significantly impact this market. Any news regarding injuries to key players on either the Stanford or Louisville teams would likely cause shifts in the odds. Changes in coaching strategies, weather forecasts, or even significant media coverage could also influence trader sentiment. Unexpected announcements related to team dynamics or player availability would be closely watched. As the game approaches, real-time updates and analysis will likely drive further price movements, reflecting the evolving expectations of those trading in this market.