TOTAL VOLUME:

$154.8b

24H VOL:

$245,601,049

24H TRANSACTIONS:

2,985,204,718

OPEN INTEREST:

$1,897,405,322

408,349

Markets across

39,583

events

MATCHED EVENTS:

4,443

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Insights
Indices
API
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Elections
Crypto
Companies
Financials
Economics
Other
Entertainment
Science and Technology
Kansas City vs Seattle: Receptions Ladder
kalshi

What is the result of Kansas City vs Seattle?

Volume:
$2,238

Jaxon Smith-Njigba

 - Kalshi

Jaxon Smith-Njigba - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 25, 11:29 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Jaxon Smith-Njigba

View
45%
8%
Yes 45¢No 55¢
—
N/A
$1,200
N/A
N/A
$1,190
Settled
ResolvedResult not available
kalshi

Travis Kelce

View
20%
Yes 20¢No 80¢
—
N/A
$805
N/A
N/A
$651
Settled
ResolvedResult not available
kalshi

Kenneth Walker III

View
20%
Yes 20¢No 80¢
—
N/A
$233
N/A
N/A
$144
Settled
ResolvedResult not available
Total markets: 3

Description

This event tracks the performance of specific players in an upcoming football game between Kansas City and Seattle. It focuses on how many times each player records a reception during the match. The outcome depends on the actual number of receptions each player achieves, influencing the value of corresponding contracts.

Kalshi

The event comprises two separate markets, each tied to a different player’s performance in the same game. For each market, Yes contracts pay $0.05 per reception recorded by the designated player, up to a maximum payout of $1.00, which corresponds to a cap of 20 receptions. The No contracts pay the remainder, such that the total payout for any contract always sums to $1.00. Payouts are scalar and proportional to the number of receptions, meaning they scale linearly between $0.00 (zero receptions) and $1.00 (20 or more receptions). For example, 8 receptions would yield a Yes payout of $0.40 and a No payout of $0.60, while 11 receptions would result in a Yes payout of $0.55 and a No payout of $0.45. The structure ensures that the combined Yes and No payouts for any position always equal $1.00, reflecting the inverse relationship between the two outcomes. The markets operate independently, each resolving based solely on the reception count of its respective player.

Frequently asked questions

On Kalshi, the dashboard for the NFL receptions market tracks the current odds for various players to exceed specific reception totals. You’ll find a price history chart displaying how the odds have shifted over time, providing insight into market sentiment. The dashboard also displays the 24-hour trading volume, currently at $1,785, and the total volume traded to date, which is $2,238. This allows you to gauge the level of interest and activity surrounding this particular market. It’s a central hub for monitoring the market’s dynamics.

Generally, prediction market odds can differ from those found at sportsbooks due to the differing motivations of participants. Sportsbooks aim to set lines that attract balanced betting action and ensure a profit margin, while participants in this market are incentivized to accurately predict the outcome. This often leads to prediction markets reflecting a “wisdom of the crowd” effect, potentially offering more accurate probabilities, especially as the event approaches. However, sportsbooks may offer different types of wagers or incorporate factors not explicitly modeled in this market.

This market resolves around Oct 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official NFL statistics for receptions will be used to determine which players exceeded their respective reception totals. The resolution will be based on the final, official statistics released by the NFL following the completion of the game. This ensures a transparent and objective determination of the market’s outcome, based on publicly available data.

Several factors could influence this market. News regarding player injuries, changes in team offensive strategies, or even weather conditions could all impact the expected reception totals and shift the odds. Significant performance in previous games, or even pre-game reports about a player’s role in the offense, could also move the market. Unexpected changes in quarterback performance or the emergence of a new receiving threat could also be catalysts. Monitoring these signals will be key to understanding the dynamics of this market.