TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 22, 7:06 PM EST
Kalshi
This event tracks how decisively either team wins the final quarter of a football game between New Orleans and Los Angeles. It focuses solely on the point differential during the last quarter, ignoring the overall game outcome or any overtime periods.
The event evaluates various point differentials by which either New Orleans or Los Angeles could win the fourth quarter of their scheduled football game on August 22, 2026. Each market corresponds to a specific threshold that the winning team's lead must exceed during that quarter. For markets where Los Angeles is the favored team to win the fourth quarter, the thresholds range from more than 2.5 points to more than 10.5 points. Conversely, for markets where New Orleans is the projected winner of the fourth quarter, the thresholds also range from more than 2.5 points to more than 10.5 points. In all cases, only points scored during the fourth quarter—excluding any overtime periods—are considered when determining whether the market resolves to 'Yes'. If the point differential meets or exceeds the specified threshold for a given market, that market resolves positively; otherwise, it resolves negatively. The markets are independent, meaning the resolution of one does not affect the others, and all are contingent solely on the fourth-quarter performance of the teams as described.
This market resolves around Aug 22, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score differential for the fourth quarter alone will determine the result, closing the market based on official game records and widely accepted sports data sources.
Injuries to key players, coaching strategies emphasizing the fourth quarter, and momentum shifts during the game could all influence this market. Quarter-specific statistics, such as scoring trends or time-of-possession data, may also impact trader sentiment. As the game progresses, any development affecting the teams' performance in the final period can cause rapid price changes.