TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 7:52 PM EST
Polymarket
Highest scoring quarter markets for Cardinals vs. 49ers.
Highest scoring quarter markets for Cardinals vs. 49ers.
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 people buy shares in a particular quarter, its price increases, reflecting a higher perceived chance of it being the highest scoring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s efficiency is driven by traders seeking to profit from perceived mispricings, constantly adjusting the odds based on new information and their own analysis.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the quarter with the highest combined score between the Cardinals and the 49ers will be identified as the winning outcome. The official game statistics will serve as the basis for determining which quarter achieved the highest point total. All data will be verified against credible public sources to ensure an accurate and transparent resolution process for this market.
Several factors could significantly influence the odds in this market. Injury reports for key players on either the Cardinals or the 49ers would be a major catalyst, as the absence of a star quarterback or a top receiver could dramatically shift scoring expectations. Weather conditions, particularly if there’s a forecast for heavy rain or strong winds, could also impact the scoring potential. Finally, any late-breaking news regarding team strategies or coaching decisions could lead to shifts in trader sentiment and, consequently, the prices within this market.