TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 21, 12:33 AM EST
Kalshi
This set of markets focuses on predicting the point differential in the third quarter of an upcoming professional football game between San Francisco and Los Angeles. Each market corresponds to a specific threshold of points by which either team must win that quarter to settle the outcome.
These markets resolve based on the point differential in the third quarter of the designated San Francisco vs Los Angeles professional football game. Each market has a specific threshold that must be exceeded by the winning team for a 'Yes' resolution. If Los Angeles wins the third quarter by more than the specified threshold (ranging from 2.5 to 10.5 points), the corresponding 'Los Angeles wins 3Q by over X points' market resolves to 'Yes.' Conversely, if San Francisco wins the third quarter by more than the specified threshold (ranging from 2.5 to 10.5 points), the corresponding 'San Francisco wins 3Q by over X points' market resolves to 'Yes.' Only points scored during the third quarter count toward these outcomes. All markets are independent, and each threshold represents a distinct condition for resolution.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the odds through buying and selling contracts that represent possible outcomes. The current top outcome reflects the probability that traders assign to each result, displayed as a percentage. Market depth and recent trades influence the displayed price, and volume of $30,290 shows how actively participants are engaging with this market right now.
This market resolves around Aug 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The official game statistics from recognized sports authorities will determine the point spread for the third quarter, closing the market once the data is finalized and made publicly available.
Injuries, weather conditions, or strategic changes by coaches can shift expectations for team performance in the third quarter and move this market. Key moments such as star player availability, recent performance trends, and betting volume spikes may also influence trader sentiment. Any breaking news that impacts how analysts forecast the quarter’s point differential can cause rapid shifts in market odds before resolution.