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 25, 4:09 PM EST
Kalshi
These markets track the number of receptions achieved by specific players in an upcoming NFL game between Tampa Bay and Carolina. Participants bet on whether each player will reach certain reception thresholds, with payouts scaling based on actual performance. The structure allows for nuanced betting on individual player contributions within the game.
Each market operates as a scalar betting mechanism focused on the number of receptions a designated player records during the specified NFL game. For every Yes contract, the payout is calculated at $0.05 per reception, up to a maximum of $1.00, which corresponds to a cap of 20 receptions. The No contract payout is determined by subtracting the Yes payout from $1.00. This ensures that the total payout for both Yes and No contracts always sums to $1.00, reflecting the inverse relationship between the two positions. Payouts are directly proportional to the holder's position size, meaning larger holdings receive correspondingly larger absolute payouts while maintaining the same ratio. Examples provided illustrate how different reception totals translate into specific Yes and No payouts, such as 8 receptions resulting in a Yes payout of $0.40 and a No payout of $0.60. The structure caps payouts to maintain predictability and manage risk, while the scalar nature allows participants to assess player performance expectations and place bets accordingly. All markets are independent, each tied exclusively to the reception count of its specified player, and Kalshi explicitly disclaims any official affiliation with the NFL.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which are set by oddsmakers. Sportsbooks may initially incorporate biases or react quickly to news, while this market tends to aggregate information from a broader range of participants. As more information becomes available – such as injury reports or weather forecasts – the odds on Kalshi may converge with, or diverge from, sportsbook odds depending on how the market interprets the new data. It’s common to see prediction markets as more accurate forecasts, especially closer to the event.
On Kalshi, this market is priced through a continuous order book, meaning traders are constantly buying and selling contracts representing different outcomes. The price of each 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 fluctuates based on supply and demand. The more traders believe an outcome is likely, the higher the price of the corresponding contract will climb, and vice versa. This dynamic pricing mechanism aims to reflect the collective intelligence of the crowd.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official NFL statistics for total receptions by players in the Tampa Bay Buccaneers versus Carolina Panthers game will be used to determine the winning contracts. The resolution will be based on the official game data, ensuring a transparent and verifiable result. Traders will be able to see the final outcome and any associated payouts on Kalshi following the completion of the game and official data release.
Several factors could significantly impact this market. Any news regarding injuries to key wide receivers or tight ends on either the Buccaneers or the Panthers would likely cause shifts in the odds. Changes in weather forecasts – particularly conditions that might favor a passing or running game – could also influence trading activity. Unexpected coaching decisions or strategic adjustments announced leading up to the game could also move the market. Finally, any late-breaking news about player availability or team dynamics could lead to substantial price fluctuations on Kalshi.