TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 1:25 PM EST
Kalshi
This event tracks the performance of quarterbacks Jalon Daniels and Jordan Love in a specific football game, focusing on their ability to avoid turnovers through passing interceptions. The outcome depends on how many interceptions each player records during the match, with different thresholds defining various market resolutions.
The event evaluates passing interceptions recorded by Jalon Daniels and Jordan Love in the Green Bay vs Tampa Bay Pro Football game scheduled for October 4, 2026. Each market resolves based on whether the respective quarterback records 1+, 2+, or 3+ passing interceptions during the game. If a quarterback is active 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—regardless of whether the play is nullified by a penalty—the market resolves according to the actual number of passing interceptions recorded. These rules apply uniformly across all markets for both quarterbacks, ensuring consistent evaluation of performance-based outcomes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set odds based on their own analysis and aim to balance betting action, while this market aggregates the beliefs of many individuals. If a significant number of traders believe a certain outcome is more likely than implied by sportsbook odds, the price in this market will adjust accordingly. However, sportsbook odds can sometimes move faster in response to breaking news, while this market relies on traders discovering and acting on that information. It’s common to see differences, especially before the event.
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 interceptions. 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 people buy contracts predicting a higher number of interceptions, the price for those contracts increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of all traders. The market depth shows the available contracts at different price points, indicating the strength of demand.
This market resolves around Oct 4, 2026, following the conclusion of the Green Bay Packers versus Tampa Bay Buccaneers game. The outcome will be determined by the verified number of passing interceptions thrown during the game, as confirmed once the event is verifiable from credible public reporting. The final market price will reflect the actual number of interceptions, allowing traders to profit if their predictions aligned with the game's result. Traders should monitor official game statistics released by reputable sports news sources to understand the final outcome.
Several factors could influence the price of this market. Any news regarding the quarterbacks’ recent performance, injury reports affecting their ability to throw accurately, or changes in weather conditions (such as heavy rain or wind) could all shift trader sentiment. Defensive strategies employed by either team, particularly aggressive blitzing schemes, might also lead to increased expectations of interceptions. Unexpected news about key wide receivers or cornerbacks could also play a role. Monitoring these signals and how they impact trader behavior is crucial for understanding potential price movements in this market.