TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 10:06 AM EST
Kalshi
This market tracks whether Shoshana Bean will win the Tony Award for Best Performance by an Actress in a Featured Role in a Musical at the 79th Tony Awards, with a leading probability of 65.0% on Kalshi. Nichelle Lewis holds the second-highest probability at 21.0%. The market resolves according to the official results from the 79th Tony Awards ceremony. Watch the Tony Awards ceremony on the resolution date to see which nominee takes home the award in this category.
Prediction market odds on Kalshi for this Tony Award category often diverge from traditional analyst forecasts and entertainment media predictions. Markets aggregate real-time trader conviction, whereas analysts typically publish periodic reviews based on performance reviews, industry buzz, and historical voting patterns. Market prices can shift rapidly following major performances or award-season momentum, while analyst rankings tend to update less frequently. Comparing Kalshi odds to published predictions from entertainment journalists and award forecasters can reveal where the crowd sees value or where expert opinion differs from market consensus on the likely winner.
The Tony Award for Best Performance by an Actress in a Featured Role in a Musical market on Kalshi resolves on Dec 31, 2026, following the live announcement of the winner at the Tony Awards ceremony. Resolution is determined by the official winner declared by the Tony Awards organization and confirmed through major media sources. Once the award is presented and the winning actress is announced on stage, Kalshi will settle all contracts based on that official outcome, paying out traders who correctly predicted the winner and closing positions for all other candidates.
Several key events and signals can shift odds for this Tony Award category before resolution. Critical reviews and audience reactions to Broadway performances directly influence trader perception of each nominee's strength. Award-season momentum from other ceremonies, social media campaigns, and industry insider commentary all drive price movement. Major cast changes, injury updates, or unexpected performance cancellations can reshape expectations. Additionally, voting bloc analysis, historical patterns from previous Tony years, and emerging frontrunner narratives published by entertainment media outlets often trigger significant repricing as traders adjust their positions based on new information.