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, 2:38 AM EST
Polymarket
Exact margin markets for Cincinnati vs. Arizona.
Exact margin markets for Cincinnati vs. Arizona.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different possible point differentials in the Bengals-Cardinals game. The price of each share reflects the market’s collective probability assessment of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect new information and changing sentiment. The market doesn’t rely on a central authority setting prices; instead, it’s a decentralized process driven by supply and demand among participants, creating a dynamic and responsive pricing system.
This market resolves around Oct 4, 2026, with the outcome confirmed once the final point differential of the Bengals-Cardinals game is verifiable from credible public reporting. The market will settle based on the official result published by the relevant sporting authority. Traders who correctly predicted the margin will receive a payout proportional to their shareholding, while those who predicted incorrectly will forfeit their stake. The resolution process ensures a transparent and objective determination of the outcome, based on publicly available data.
Several factors could influence trading activity in this market leading up to Oct 4, 2026. News regarding key player injuries for either the Bengals or the Cardinals would likely have a significant impact, as would any changes in weather forecasts that could affect the game’s conditions. Unexpected coaching decisions or shifts in team strategy could also drive price movements. Furthermore, large-volume trades by influential participants or new information released by analysts could all contribute to changes in the odds as traders adjust their predictions based on the latest developments.