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Pittsburgh vs Tampa Bay: Passing Interceptions
kalshi

What is the result of Pittsburgh vs Tampa Bay?

Volume:
$41,764

Aaron Rodgers: 1+

 - Kalshi

Aaron Rodgers: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 1:24 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

Aaron Rodgers: 1+

View
100%
Yes 100¢No 0¢
—
N/A
$26,710
N/A
N/A
$24,596
Settled
Yes
kalshi

Jalon Daniels: 1+

View
100%
49%
Yes 100¢No 0¢
—
N/A
$6,750
N/A
N/A
$5,734
Settled
Yes
kalshi

Jalon Daniels: 2+

View
100%
Yes 100¢No 0¢
—
N/A
$1,387
N/A
N/A
$1,365
Settled
Yes
kalshi

Aaron Rodgers: 2+

View
0%
14%
Yes 0¢No 100¢
—
N/A
$4,474
N/A
N/A
$4,359
Settled
No
kalshi

Aaron Rodgers: 3+

View
0%
6%
Yes 0¢No 100¢
—
N/A
$2,189
N/A
N/A
$2,149
Settled
No
kalshi

Jalon Daniels: 3+

View
0%
Yes 0¢No 100¢
—
N/A
$254
N/A
N/A
$254
Settled
No
Total markets: 6

Description

This event tracks the performance of specific quarterbacks in a football game, focusing on their ability to avoid turnovers. It measures how many times a designated player records interceptions thrown during the match, with different thresholds for resolution.

Kalshi

All markets resolve based on the total number of passing interceptions recorded by the specified quarterback during the Pittsburgh vs Tampa Bay Pro Football game originally scheduled for October 18, 2026. If the named quarterback is active for the team but does not take a single snap—whether due to injury, substitution, or any other reason—the market settles at the fair market price determined before the game begins. However, once the quarterback takes at least one snap, regardless of whether that play is later nullified by a penalty, the market resolves strictly according to the actual number of interceptions recorded during their playing time. Each market has a specific threshold (1+, 2+, or 3+) that must be met or exceeded for a 'Yes' resolution. These rules apply independently to each named player market, with no cross-market influence.

Frequently asked questions

Generally, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by individuals willing to buy or sell based on their own analysis. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Polls and analysts’ predictions also offer a different perspective, but this market provides a continuously updating probability based on real money at stake, potentially offering a more accurate forecast than static predictions.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing different outcomes – in this case, the number of passing interceptions. As more people buy contracts for a particular outcome, its price increases, reflecting a higher perceived probability. Conversely, selling contracts drives the price down. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a contract represents the probability of that outcome occurring, scaled to a value between 0 and 100. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.

This market resolves around Oct 18, 2026, with the outcome confirmed once the final number of passing interceptions thrown in the Pittsburgh versus Tampa Bay game is verifiable from credible public reporting. The resolution will be based on official game statistics, and the market will settle to reflect the actual number of interceptions thrown during the game. The outcome will be determined by the official game statistics, and the market will pay out to those who correctly predicted the final number of interceptions.

Several factors could influence the price of this market before resolution. Any news regarding the quarterbacks’ health, such as an injury report, would likely cause significant movement. Changes in weather conditions, particularly if they are expected to be adverse for passing, could also shift the probabilities. Unexpected news about defensive strategies employed by either team, or even pre-game analysis highlighting a specific weakness in either passing game, could all contribute to price fluctuations in this market. Public perception and betting trends will also play a role.