TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 7:54 PM EST
Polymarket
Highest scoring quarter markets for Broncos vs. 49ers.
Highest scoring quarter markets for Broncos vs. 49ers.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief about which quarter will have the highest score. As more shares are purchased for a particular quarter, its price increases, indicating a higher perceived probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share directly corresponds to the implied probability of that quarter winning; a share priced at 30 represents a 30% chance of that quarter being the highest scoring. This dynamic pricing ensures the market reflects the most up-to-date collective intelligence of participants.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The highest-scoring quarter of the Broncos-49ers game will determine the winning outcome. The official NFL game statistics will be used to determine which quarter achieved the highest point total. This resolution process ensures transparency and objectivity, reflecting the actual game results as recorded by official sources. Traders will be able to claim their winnings shortly after the official results are available.
Several factors could influence this market before the game concludes. Late-breaking news regarding key player injuries to either the Broncos or 49ers 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 trading activity. Even in-game events, such as early scoring drives or defensive stops, could lead to adjustments in the perceived likelihood of each quarter being the highest scoring. Monitoring these signals can help you identify potential trading opportunities.