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Kansas City vs Miami: Receiving Yards Ladder
kalshi

Kansas City vs Miami: Receiving Yards Ladder

Volume:
$10,783

Rashee Rice

 - Kalshi

Rashee Rice - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 27, 5:57 PM EST

kalshi

Kalshi

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

Rashee Rice

View
22%
Yes 22¢No 78¢
100¢
N/A
$488
N/A
N/A
$488
Settled
No
kalshi

Travis Kelce

View
15%
Yes 14.8¢No 85.3¢
100¢
N/A
$2,186
N/A
N/A
$2,186
Settled
No
kalshi

Malik Washington

View
14%
Yes 14¢No 86¢
100¢
N/A
$1,999
N/A
N/A
$1,999
Settled
No
kalshi

Kenneth Walker III

View
1%
Yes 0.8¢No 99.3¢
100¢
N/A
$2,911
N/A
N/A
$2,120
Settled
No
kalshi

De'Von Achane

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,200
N/A
N/A
$3,200
Settled
No
Total markets: 5

Description

This set of markets tracks the performance of specific players in an upcoming football game between Kansas City and Miami. Participants can bet on whether each named player will achieve a certain level of receiving yards, with payouts scaling based on the exact yardage achieved. The structure allows for nuanced predictions about individual player contributions in the game.

Kalshi

These markets function as scalar betting contracts focused on receiving yardage performance by individual players in the specified Kansas City vs. Miami NFL game. For each player market, Yes contracts pay $0.0025 per receiving yard accumulated, capped at $1.00 for a maximum of 400 yards. No contracts pay the remainder of $1.00 minus the Yes payout. Payouts are proportional to contract positions, meaning a holder of a Yes contract with 80 receiving yards receives $0.20 while a No contract receives $0.80. If a player records zero yards, Yes pays $0.00 and No pays $1.00. All markets resolve to Yes if the yardage threshold triggers payout calculations, regardless of the absolute yardage value. The structure ensures balanced risk/reward dynamics while maintaining proportionality to actual performance metrics.