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New England vs Miami: Receptions Ladder
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What is the result of New England vs Miami?

Volume:
$2,702

Malik Washington

 - Kalshi

Malik Washington - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 7:59 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Malik Washington

View
25%
Yes 25¢No 75¢
—
N/A
$11
N/A
N/A
$11
Settled
ResolvedResult not available
kalshi

Rhamondre Stevenson

15%
Yes 15¢No 85¢
—
N/A
$2,683
N/A
N/A
$2,683
Settled
ResolvedResult not available
kalshi

Hunter Henry

15%
Yes 15¢No 85¢
—
N/A
$8
N/A
N/A
$8
Settled
ResolvedResult not available
kalshi

Caleb Douglas

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
ResolvedResult not available
Total markets: 4

Description

These markets track the performance of specific New England Patriots players in an upcoming football game against Miami. Each market focuses on the number of receptions a particular player achieves during the match. Payouts for 'Yes' contracts increase with the number of receptions up to a set limit, while 'No' contracts pay the remainder of the total stake.

Kalshi

The event consists of three separate scalar markets, each tied to a different New England Patriots player’s reception count in the game against Miami on Nov 1, 2026. For each market, 'Yes' contracts pay $0.05 per reception recorded by the designated player, with payouts capped at $1.00 and limited to a maximum of 20 receptions. 'No' contracts pay the difference between $1.00 and the 'Yes' payout. Payouts are proportional to each contract holder’s position size. For instance, if a player records eight receptions, the 'Yes' payout would be $0.40 and the 'No' payout $0.60; eleven receptions would result in a 'Yes' payout of $0.55 and a 'No' payout of $0.45, while zero receptions would yield a 'Yes' payout of $0.00 and a 'No' payout of $1.00. All markets resolve independently based on the actual reception counts for Caleb Douglas, Hunter Henry, and Rhamondre Stevenson.

Frequently asked questions

Generally, prediction market odds reflect the wisdom of the crowd, incorporating a wider range of information and perspectives than traditional sportsbook odds, which are often set by a smaller group of experts. This can lead to differences in probabilities, especially as new information emerges. Sportsbooks may initially focus on statistical models and team news, while this market can quickly adjust to factors like player sentiment or unexpected developments during the week leading up to the game. It's common to see discrepancies, as each system weighs information differently.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s collective belief about the probability of that outcome occurring. As more traders participate, the prices converge to reflect the aggregated forecast. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more a particular outcome is favored by traders, the higher its price will be, and vice versa. This dynamic pricing mechanism allows the market to efficiently incorporate new information and adjust expectations in real-time.

This market resolves around Nov 2, 2026, with the outcome confirmed once the official game statistics are verifiable from credible public reporting. Specifically, the final reception totals for the players in this market will be used to determine which contracts pay out. The resolution will be based on the official NFL statistics released after the game concludes, ensuring an objective and transparent outcome. Traders will be able to see the final results and payouts on Kalshi following the official data release.

Several factors could significantly impact this market before it resolves. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift expectations and influence trading activity. A key player being ruled out due to injury would likely cause a substantial movement in the odds for their teammates. Unexpected positive or negative news about a player’s performance or role within the offense could also lead to significant price fluctuations. Keep an eye on team practice reports and expert analysis for potential catalysts.