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 18, 4:59 PM EST
Kalshi
This set of markets tracks how many times specific players catch the ball during a football game between two teams. Each player's performance directly influences the payout structure, rewarding participants based on the exact number of receptions achieved.
These markets resolve based on the number of official receptions each named player records during the specified football game. Yes contracts pay according to a tiered schedule that increases with each reception up to a maximum payout of $1.00 for 14 or more receptions. The payout formula uses a cubic scaling method to determine the precise payment, calculated as floor(10000 x (min(s, 14) / 14)^3) / 10000, where 's' represents the official receptions. No contracts pay the difference between $1.00 and the Yes payout. All markets resolve to Yes once the game's official statistics are finalized, with each player's reception count determining the specific payout for their respective market. The structure ensures payouts remain capped at $1.00 for Yes contracts and correspondingly adjusts No payouts accordingly.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own research and insights. It's common to see discrepancies, especially early on, as the prediction market incorporates information and opinions from a diverse group of participants. Polls and analysts’ projections can also differ from both, providing a broader range of forecasts for the event’s outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different possible outcomes. The price of a contract indicates 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. As more traders participate, the price adjusts to reflect the collective assessment of the event. This dynamic pricing mechanism aims to provide a real-time estimate of the likelihood of various reception totals for the players involved in the New York J vs New England game.
This market resolves around Oct 18, 2026, with the outcome confirmed once the official statistics for the New York J vs New England game are verifiable from credible public reporting. The final reception totals for the players in question will be sourced from official NFL data and used to determine which contracts pay out. The resolution process ensures accuracy and transparency, providing a definitive outcome based on established game statistics. Traders will be able to view the final results on Kalshi following the conclusion of the game.
Several factors could influence this market leading up to the game. Any news regarding player injuries, changes in team strategy, or even weather forecasts could significantly shift expectations and impact trading activity. Unexpected developments in practice reports, such as a key player’s limited participation, might cause traders to reassess their predictions. Furthermore, late-breaking news about quarterback-receiver chemistry or defensive matchups could also drive price movements in this market. Monitoring these signals will be crucial for informed trading decisions.