TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 8:00 PM EST
Kalshi
These markets track the number of receptions achieved by specific players in an upcoming football game between Denver and San Francisco. Each player's performance is measured against a predefined payout schedule, reflecting the varying value of different reception totals.
Each market operates as a scalar betting opportunity focused on the exact number of receptions a designated player achieves during the specified football game. For every player market, Yes contracts pay out according to a tiered schedule that increases with the number of receptions, capping at $1.00 for 14 or more receptions. The payout formula for Yes contracts is calculated as floor(10000 x (min(s, 14) / 14)^3) / 10000, where 's' represents the official number of receptions recorded. Conversely, No contracts pay $1.00 minus the corresponding Yes payout, ensuring that the total payout for both Yes and No contracts combined equals $1.00. All markets resolve to Yes if the specified conditions are met based on the actual game statistics.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines based on their models and risk management, while this market aggregates the insights of many individual traders. Historically, prediction markets have demonstrated accuracy in forecasting event outcomes, sometimes outperforming traditional polls and expert analyses. It’s common to see discrepancies between the two, especially as new information emerges and traders adjust their positions.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price adjusts based on supply and demand. A higher price indicates a lower probability, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect changing expectations about the game.
This market resolves around Oct 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of receptions by players in the Denver versus San Francisco game will be used to determine the winning contracts. The resolution will be based on official game statistics, ensuring a transparent and objective outcome. Traders will then be able to claim their winnings or adjust their strategies for future markets based on the verified results of this event.
Several factors could influence this market before resolution. Any news regarding player injuries to key receivers on either the Denver or San Francisco teams would likely cause significant movement. Changes in weather forecasts, particularly conditions that might favor passing or running plays, could also shift trader sentiment. Unexpected coaching decisions or strategic adjustments announced before the game could also impact the market. Finally, any late-breaking news or analysis regarding team matchups or player performance could lead to price fluctuations in this market.