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Atlanta vs Tampa Bay: Receptions Ladder
kalshi

What is the result of Atlanta vs Tampa Bay?

Volume:
$2,060

Kyle Pitts Sr.

 - Kalshi

Kyle Pitts Sr. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 4:04 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

Kyle Pitts Sr.

View
10%
Yes 10¢No 90¢
—
N/A
$5
N/A
N/A
$5
Settled
ResolvedResult not available
kalshi

Drake London

View
5%
Yes 5¢No 95¢
—
N/A
$2,005
N/A
N/A
$2,000
Settled
ResolvedResult not available
kalshi

Bijan Robinson

View
0%
Yes 0¢No 100¢
—
N/A
$50
N/A
N/A
$50
Settled
No
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Bucky Irving

View
N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 4

Description

This set of markets tracks the number of receptions achieved by specific Atlanta and Tampa Bay players in their upcoming football game. Participants can bet on whether each player will reach certain reception thresholds, with payouts scaling based on actual performance. The structure allows for nuanced predictions about individual player contributions in the contest.

Kalshi

These markets resolve based on the total number of receptions recorded by designated players during the specified Atlanta vs. Tampa Bay NFL game. Each Yes contract pays $0.05 per reception, capped at $1.00 for up to 20 receptions. The No contract pays $1.00 minus the Yes payout, ensuring the total payout for both sides always equals $1.00. Payouts are proportional to contract holdings, meaning a holder’s return scales with their position size relative to the total receptions. For example, if a player records eight receptions, Yes contracts pay $0.40 and No contracts pay $0.60; eleven receptions would pay Yes $0.55 and No $0.45, while zero receptions result in Yes paying $0.00 and No paying $1.00. All markets operate independently, with each resolving solely based on the named player’s performance in that specific game.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market is driven by traders who are incentivized to accurately forecast the outcome. If a significant discrepancy exists between this market and sportsbook odds, it may indicate differing beliefs about the likelihood of various results. Polls and analysts’ projections can also provide a useful point of comparison, but prediction markets often prove more accurate over time.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different reception totals for players. The price of each contract reflects the market’s assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders adjust their bids and asks based on news, injury reports, and their own analysis, leading to dynamic price movements. The current price indicates what it costs to take a position on a specific player exceeding a given reception threshold.

This market resolves around Nov 1, 2026, with the outcome confirmed once the official game statistics are verifiable from credible public reporting. The final reception totals for each player involved will be used to determine which contracts settle positively or negatively. The resolution will be based on the official NFL statistics released after the game concludes, and will determine payouts for those who correctly predicted which players would exceed their respective reception ladders.

Several factors could significantly influence this market. Injury reports are key, as the absence of a starting receiver would impact the opportunities for others. Changes in quarterback play, weather conditions, and even coaching decisions can all affect passing volume and target distribution. Unexpected news regarding player matchups or defensive strategies could also lead to shifts in the market. Any late-breaking information that alters expectations for player performance is likely to move the odds in this market.