TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 2:01 PM EST
Kalshi
These markets track the performance of quarterback Bryce Young in a specific NFL matchup between Tampa Bay and Carolina. They focus on how many passing touchdowns he throws during the entire game, including any overtime periods. The outcomes depend solely on the actual statistics recorded by Young in that contest.
These markets resolve based on the number of passing touchdowns thrown by Bryce Young in the full duration of the Tampa Bay vs Carolina NFL game scheduled for October 25, 2026, including any overtime periods. Each market has a specific threshold (1+, 2+, 3+, 4+, or 5+ passing touchdowns) that determines a 'Yes' outcome if met. All contracts are designated as 'protected,' meaning if Young participates in at least one play during the first half but does not participate in any play after the first half concludes (including overtime), the contract resolves to the fair price set prior to the game's kickoff—unless he meets the required touchdown threshold, in which case it settles based on actual statistics. If Young participates in any play after the first half, the contract settles based on actual statistics regardless of first-half involvement. Participation in a play nullified by penalty does not count, and a player who never participates is subject to the fair price non-participation rule. The protected designation applies only to full-game contracts with an above or at-least payout criterion. Kalshi is not affiliated with the NFL, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house biases or initial line setting. Sportsbooks often set lines to balance betting action, while this market is driven purely by individuals predicting the outcome. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Examining both sets of odds can provide a more comprehensive understanding of the perceived probabilities surrounding the number of passing touchdowns in the Buccaneers vs Panthers game.
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 market's collective belief about the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading volume indicate the level of confidence and interest in each possible result, offering insights into how the crowd views the likelihood of various passing touchdown totals in the upcoming game.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on the official number of passing touchdowns scored by each team during the Buccaneers vs Panthers game. The final result will be sourced from official game statistics and verified against credible public sources. Traders holding contracts corresponding to the correct outcome will be paid out according to the market's pricing at the time of resolution.
Several factors could influence this market before resolution. Any news regarding key player injuries to quarterbacks or wide receivers on either the Buccaneers or the Panthers would likely cause significant movement. Changes in weather forecasts, particularly conditions that favor passing or running, could also impact the market. Furthermore, late-breaking reports on team strategies or defensive matchups could shift trader sentiment. Unexpected news about coaching decisions or team morale could also play a role in how this market prices the probability of different passing touchdown outcomes.