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Pittsburgh vs Tampa Bay: Touchdowns (Protected)
kalshi

What is the result of Pittsburgh vs Tampa Bay?

Volume:
$5,341

Darnell Washington: 1+

 - Kalshi

Darnell Washington: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 3:35 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

Darnell Washington: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$801
N/A
N/A
$801
Settled
Yes
kalshi

Emeka Egbuka: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$548
N/A
N/A
$548
Settled
Yes
kalshi

Germie Bernard: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$201
N/A
N/A
$201
Settled
Yes
kalshi

Eli Heidenreich: 1+

View
3%
Yes 3¢No 97¢
—
N/A
$47
N/A
N/A
$47
Settled
ResolvedResult not available
kalshi

Jaylen Warren: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$652
N/A
N/A
$652
Settled
No
kalshi

Pat Freiermuth: 1+

View
0%
25%
Yes 0¢No 100¢
—
N/A
$644
N/A
N/A
$644
Settled
No
kalshi

Aaron Rodgers: 1+

View
0%
7%
Yes 0¢No 100¢
—
N/A
$630
N/A
N/A
$630
Settled
No
kalshi

Brandon Smith: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$600
N/A
N/A
$600
Settled
No
kalshi

Jaylen Warren: 3+

View
0%
Yes 0¢No 100¢
—
N/A
$276
N/A
N/A
$276
Settled
No
kalshi

Jaylen Warren: 2+

View
0%
9%
Yes 0¢No 100¢
—
N/A
$219
N/A
N/A
$219
Settled
No
kalshi

Darnell Washington: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$144
N/A
N/A
$144
Settled
No
kalshi

Germie Bernard: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$90
N/A
N/A
$90
Settled
No
kalshi

DK Metcalf: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$89
N/A
N/A
$89
Settled
No
kalshi

Pat Freiermuth: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$89
N/A
N/A
$89
Settled
No
kalshi

Emeka Egbuka: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$88
N/A
N/A
$88
Settled
No
kalshi

Kaden Wetjen: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$74
N/A
N/A
$74
Settled
No
kalshi

Jalon Daniels: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$49
N/A
N/A
$49
Settled
No
kalshi

Rico Dowdle: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$44
N/A
N/A
$44
Settled
No
kalshi

Bucky Irving: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$25
N/A
N/A
$25
Settled
No
kalshi

Bucky Irving: 2+

View
0%
Yes 0¢No 100¢
—
N/A
$12
N/A
N/A
$12
Settled
No
kalshi

Cade Otton: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$10
N/A
N/A
$10
Settled
No
kalshi

Chris Godwin Jr.: 1+

View
0%
Yes 0¢No 100¢
—
N/A
$9
N/A
N/A
$9
Settled
No
kalshi

DK Metcalf: 1+

View
N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

TB Buccaneers D/ST: 1+

View
N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

PIT Steelers D/ST: 1+

View
N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 25 of 42

Description

These markets focus on whether specific players or defensive units score at least one touchdown during an upcoming football game between Pittsburgh and Tampa Bay. Each market tracks individual performance or defensive scoring contributions, applying special rules for player participation and injury scenarios.

Kalshi

All contracts in this event are designated as protected, meaning they incorporate specific participation and injury-related conditions to determine settlement. If a player participates in at least one play during the first half but does not participate in any play after the first half—including overtime—they will receive the fair price prior to the game's kickoff unless they achieve the required touchdown count, in which case the contract settles based on actual statistics. If a player participates in any play after the first half, the contract settles based on actual statistics regardless of first-half involvement. Notably, injury, injury designation, or being ruled out is not required for protection to apply. Participation in a play nullified by penalty does not count, and a player who never participates remains subject to the fair price non-participation rule. The protected designation applies exclusively to full-game contracts with an at-least payout criterion, and this event considers touchdowns scored at any point in the full game, including overtime. Importantly, passing touchdowns do not count toward the touchdown totals for individual players, and team defense/special-teams selections settle based on actual touchdowns without applying the player participation exception.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set their lines based on models and attempt to balance action on both sides, while this market allows anyone to trade on their beliefs. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the price for that outcome will move accordingly. This can sometimes lead to prediction market prices being more accurate than traditional odds, especially as the event approaches and more information becomes available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, these probabilities – and therefore the prices – will fluctuate. The current price indicates what it costs to take a position on a specific outcome happening, and traders aim to profit by correctly predicting the event's result.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official game statistics for the number of touchdowns scored by each team in the Pittsburgh versus Tampa Bay game. The market will determine which outcomes align with the final, official game results. Traders holding contracts on the correct outcome will receive a payout, while those holding contracts on incorrect outcomes will not.

Several factors could influence trading activity in this market. Injury reports for key players on either the Pittsburgh or Tampa Bay teams would be significant, as would any changes in weather forecasts that could affect the game's scoring potential. Unexpected news regarding team strategies or coaching decisions could also impact prices. Furthermore, large-volume trades by informed participants could cause noticeable shifts in the probabilities, and general public sentiment regarding the teams’ performance can also play a role in how this market moves.