TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 4:32 PM EST
Polymarket
Highest scoring quarter markets for Browns vs. Jets.
Highest scoring quarter markets for Browns vs. Jets.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in each quarter being the highest scoring. The price of each share directly corresponds to the implied probability of that outcome. As more traders participate, the prices adjust to reflect the collective assessment of the event’s likelihood. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is driven entirely by supply and demand; if more people believe a certain quarter will be the highest scoring, the price of shares representing that outcome will increase.
This market resolves around Oct 11, 2026, with the outcome confirmed once the highest scoring quarter of the Browns-Jets game is verifiable from credible public reporting. The official NFL game statistics will be used to determine which quarter had the most points scored. The resolution will reflect the quarter with the highest total points, regardless of the final game outcome. Traders holding shares in the winning quarter will receive a payout, while those holding shares in losing quarters will not.
Several factors could influence the Browns-Jets scoring market. Any news regarding key player injuries on either team—particularly quarterbacks, running backs, or wide receivers—would likely cause significant shifts in the odds. Changes in weather forecasts, such as predictions of heavy rain or strong winds, could also impact scoring expectations. Additionally, late-breaking news about coaching strategies or team morale could influence traders’ beliefs and move the market. Finally, even public sentiment and social media buzz can sometimes play a role in short-term price fluctuations.