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, 4:09 PM EST
Kalshi
San Francisco and Atlanta professional football teams are set to face off on October 25, 2026. The event's resolution depends entirely on whether the match ends with equal points for both sides after the full game duration. The result will determine whether the contest concludes in equilibrium.
If neither team wins and the game ends in a tie in the San Francisco vs Atlanta Pro Football game originally scheduled for Oct 25, 2026, then the market resolves to Yes.
Generally, prediction market odds often reflect a “wisdom of the crowd” perspective, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the probability of a tie. Discrepancies can arise from differing information sources, analytical approaches, or simply variations in opinion. It’s common to find that prediction markets are more accurate than traditional forecasts, especially when aggregating diverse viewpoints on the San Francisco vs Atlanta game.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the result will be determined by whether the San Francisco vs Atlanta game ends in a tie, as officially recorded by sports authorities. The resolution will be based on the final official score, and any overtime periods will be included in determining the outcome. Traders will then be paid out or have their funds returned based on whether their prediction aligned with the verified result.
Several factors could influence the price of this market before Oct 25, 2026. Any news regarding injuries to key players on either the San Francisco or Atlanta teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to a low-scoring, potentially tied game, could also shift the odds. Furthermore, any shifts in public sentiment, reflected in polls or expert analyses, or even large trading volume from informed participants, could cause the market to move. Unexpected announcements related to team strategy or coaching decisions could also play a role.