TOTAL VOLUME:
$134b
24H VOL:
$85,014,378
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,695,592
394,774
Markets across
30,069
events
MATCHED EVENTS:
2,615
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 4:00 PM EST
Predict
In the upcoming NFL game, scheduled for September 27 at 1:00PM ET: If Jets wins, the market will resolve to "Jets". If Lions wins, the market will resolve to "Lions". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.
In the upcoming NFL game, scheduled for September 27 at 1:00PM ET: If Jets wins, the market will resolve to "Jets". If Lions wins, the market will resolve to "Lions". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.
On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing the potential outcomes of the Jets-Lions game. The price of each contract reflects the market’s collective assessment of the probability of that outcome occurring. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe a particular outcome is likely, the higher the price of its corresponding contract will rise. This dynamic pricing ensures that the market odds constantly adapt to new information and changing sentiment.
This market resolves around Sep 27, 2026, with the outcome confirmed once the result of the Jets-Lions game is verifiable from credible public reporting. The team with the most points at the end of regulation time will be declared the winner, and that result will determine the payout of contracts on Predict. Any overtime periods will be included in determining the final score and, therefore, the market’s outcome. The resolution process is designed to be transparent and based on widely accepted sources of information.
Several factors could significantly influence this market before the Jets-Lions game takes place. Major news regarding player injuries to key players on either team would likely cause substantial shifts in the odds. Unexpected changes in coaching strategies or team performance during practice could also impact market sentiment. Furthermore, any significant weather forecasts predicting adverse conditions during the game, such as heavy rain or strong winds, could also move the market as these factors can affect scoring and overall game dynamics. Public perception and media coverage can also play a role.