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 18, 4:25 PM EST
Polymarket
Highest scoring quarter markets for Ravens vs. Browns.
Highest scoring quarter markets for Ravens vs. Browns.
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. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the prices adjust to reflect the collective assessment of the market. Higher volume generally indicates greater confidence and liquidity in the market, making price discovery more efficient. The current price reflects the aggregated forecasts of all participants.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The quarter with the highest combined score between the Ravens and the Browns will be declared the winner. Official NFL game statistics will be used to determine the final scores for each quarter. The resolution will be based on the official game results, ensuring a transparent and objective determination of the highest-scoring quarter. Traders will be able to claim their winnings based on the final outcome.
Several factors could influence trading activity in this market. Any news regarding key player injuries for either the Ravens or the Browns would likely cause significant shifts in probabilities. Changes in weather forecasts, particularly if they suggest a high-scoring or low-scoring game, could also impact the market. Late-breaking news about coaching strategies or defensive matchups could also play a role. Even public sentiment, as expressed through social media or expert analysis, can influence trader behavior and move the odds in this market.