TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 10:30 PM EST
Kalshi
This event tracks the performance of quarterbacks in a specific football game, focusing on how many times they successfully connect with their receivers. The outcome depends on whether each player meets or exceeds predetermined completion thresholds during the match.
All markets resolve based on the total passing completions achieved by the named quarterback in the Detroit vs Carolina Professional Football game scheduled for October 4, 2026. If the quarterback is active for the game but does not take any snaps, the market settles at the fair market price determined before the game starts. Once a quarterback takes at least one snap—even if that play is nullified by a penalty—the market resolves according to the actual number of passing completions recorded during the game. Each market has a specific threshold (e.g., 17+, 22+, etc.) that must be met or exceeded for the market to resolve as 'Yes'. These rules apply independently to markets for both Bryce Young and Jared Goff, with each having three distinct completion thresholds.
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 risk management, 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. Comparing the two can be a useful exercise for informed decision-making, but remember that each represents a distinct form of forecasting.
This market resolves around Oct 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of passing completions achieved by both the Detroit Lions and the Carolina Panthers will be used to determine the winning contracts. Official game statistics from a recognized sports data provider will serve as the definitive source for this information. Traders will then be able to claim their winnings based on the final result.
Several factors could influence the trading activity in this market. Injury reports for key quarterbacks or wide receivers on either team would likely cause significant shifts in the odds. Unexpected weather forecasts, particularly those predicting heavy rain or strong winds, could also impact the expected passing volume. Major news stories about team strategy or coaching changes might also move the market. Any developments that alter perceptions of the teams’ offensive capabilities could lead to increased volume and price fluctuations.