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Carolina vs Philadelphia: Receptions Escalator
kalshi

What is the result of Carolina vs Philadelphia?

Volume:
$1,711

DeVonta Smith

 - Kalshi

DeVonta Smith - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 4:39 PM EST

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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

DeVonta Smith

View
13%
3%
Yes 12.5¢No 87.5¢
—
N/A
$128
N/A
N/A
$128
Settled
ResolvedResult not available
kalshi

Tetairoa McMillan

8%
3%
Yes 7.9¢No 92.1¢
—
N/A
$1,565
N/A
N/A
$1,472
Settled
ResolvedResult not available
kalshi

Chuba Hubbard

0%
Yes 0¢No 100¢
—
N/A
$17
N/A
N/A
$17
Settled
ResolvedResult not available
kalshi

Jalen Coker

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
ResolvedResult not available
kalshi

Dontayvion Wicks

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
ResolvedResult not available
Total markets: 5

Description

This market tracks the number of receptions achieved by specific players during an upcoming football game. Participants can bet on whether each player's reception count will hit certain thresholds, with payouts scaling based on performance. The structure incentivizes accurate predictions of player involvement in the game.

Kalshi

Contracts pay out based on the exact number of official receptions recorded by designated players during the specified football game. Yes contracts follow a tiered payout schedule that increases non-linearly with each additional reception, capped at $1.00 for 14 or more receptions. The payout formula calculates payments using a cubic scaling factor applied to the reception count, normalized against a maximum of 14 receptions. No contracts pay the difference between $1.00 and the corresponding Yes payout. All payouts are determined solely by official game statistics, with no adjustments for ties or alternative interpretations. The market resolves to Yes for any contract where the player's actual reception count matches or exceeds the threshold defined for that contract's payout tier.

Frequently asked questions

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small number of professionals, while this market aggregates insights from many individuals. It's common to see discrepancies arise due to differing information, biases, or simply varying interpretations of the event. Comparing this market to sportsbook odds can provide a broader view of potential outcomes for the Carolina vs Philadelphia game.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different reception totals. The price of each contract reflects the market's current expectation of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information and their own analysis, leading to dynamic price fluctuations. The market efficiently incorporates new information as it becomes available, making it a real-time indicator of expectations for the game.

This market resolves around Oct 18, 2026, with the outcome confirmed once the final reception totals for the Carolina vs Philadelphia game are verifiable from credible public reporting. The resolution will be based on the official game statistics as recorded by the league. The market will determine which reception total was achieved during the game, and contracts corresponding to that outcome will pay out. It’s important to monitor official sources for the final statistics to understand the resolution.

Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Carolina or Philadelphia teams, particularly wide receivers or quarterbacks, would likely have a significant impact. Changes in weather forecasts could also shift expectations, as weather conditions can affect passing games and reception totals. Additionally, any late-breaking news about team strategies or matchups could cause traders to reassess their positions and adjust the price of this market accordingly.