TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 3:45 PM EST
Kalshi
This event assesses if both Cleveland and Pittsburgh score points during the third quarter of their Pro Football game scheduled for Nov 1. The analysis covers only regulation time, ignoring any points scored in overtime periods.
If Cleveland and Pittsburgh both score points in the 3rd quarter of the Cleveland vs Pittsburgh Pro Football game originally scheduled for Nov 1, 2026, then the market resolves to Yes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether both teams will score in the 3rd quarter. The price of a contract ranges from 0 to 100, representing the probability of the event occurring. As more people buy contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market reflects the aggregated sentiment of all participants, creating a dynamic and real-time assessment of the likelihood of the outcome. The current price indicates what the collective market believes the probability is.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether both the Cleveland Browns and the Pittsburgh Steelers score at least one point during the 3rd quarter of the game. Official game statistics from a trusted sports data provider will be used to determine if both teams have scored, and that information will be used to settle the market. The outcome will be determined by the official game results.
Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either the Browns or the Steelers would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the passing or running game, could also shift the market. Furthermore, in-game performance during the first half, such as a dominant offensive showing by one team, could lead traders to adjust their predictions. Unexpected coaching decisions or even pre-game reports about team strategy could also move the market.