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Houston vs Jacksonville: Receptions Escalator
kalshi

What is the result of Houston vs Jacksonville?

Volume:
$2,970

Parker Washington

 - Kalshi

Parker Washington - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 1:19 PM EST

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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

Parker Washington

View
2%
Yes 2.3¢No 97.7¢
—
N/A
$913
N/A
N/A
$850
Settled
ResolvedResult not available
kalshi

Bhayshul Tuten

View
2%
Yes 2.3¢No 97.7¢
—
N/A
$540
N/A
N/A
$318
Settled
ResolvedResult not available
kalshi

Dalton Schultz

View
2%
Yes 2.3¢No 97.7¢
—
N/A
$334
N/A
N/A
$1
Settled
ResolvedResult not available
kalshi

Nico Collins

View
1%
Yes 1¢No 99¢
—
N/A
$1,087
N/A
N/A
$1,084
Settled
ResolvedResult not available
kalshi

Brian Thomas Jr.

View
0%
Yes 0¢No 100¢
—
N/A
$96
N/A
N/A
$96
Settled
No
Total markets: 5

Description

This event tracks the number of receptions achieved by various players in a specific football game between Houston and Jacksonville. Participants can bet on whether each player's reception count will hit certain thresholds, with payouts scaling based on performance. The structure incentivizes predictions about player involvement and effectiveness during the match.

Kalshi

The event consists of multiple parallel scalar markets, each focused on a different Houston or Jacksonville player’s reception count in the game scheduled for October 18, 2026. For each player market, Yes contracts pay out according to a predefined schedule that increases with the number of receptions, calculated using the formula floor(10000 x (min(s, 14) / 14)^3) / 10000, where s represents the official receptions recorded. The maximum Yes payout per contract is $1.00, and No contracts pay $1.00 minus the Yes payout. All markets resolve to Yes if the specified conditions are met for each respective player, with payouts determined solely by the actual reception counts recorded during the game. The structure ensures that each player’s market operates independently, allowing participants to assess individual performance predictors separately.

Frequently asked questions

Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies, especially before significant events or when new information emerges. However, as the event approaches, the prices in this market tend to converge with sportsbook odds, as both attempt to accurately forecast the outcome. Comparing these can be a useful exercise for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe an outcome is likely, the higher the price of its corresponding contract will climb. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final reception totals for the players involved in the Houston versus Jacksonville game will be used to determine the winning contracts. The resolution will be based on official NFL statistics, ensuring a transparent and objective assessment of the results. Traders will be able to see the final outcome and their contract values updated accordingly after the event concludes and the data is verified.

Several factors could influence the price movement in this market. Any news regarding player injuries, changes in team strategy, or even weather forecasts could impact predictions about reception totals. Significant shifts in public sentiment, reflected in media coverage or social media discussions, can also drive trading activity. Unexpected performance from players in preceding games, or adjustments to defensive schemes by either team, could also lead to price fluctuations. Monitoring these signals will be key to understanding how this market evolves leading up to Oct 18, 2026.