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%

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Entertainment
Tony Award for Best Performance by an Actress in a Leading Role in a Play?
kalshi

Tony Award for Best Performance by an Actress in a Leading Role in a Play?

Volume:
$39,225

Lesley Manville

 - Kalshi

Lesley Manville - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 8, 2026

Closed: Jun 8, 10:03 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Lesley Manville

View
100%
Yes 100¢No 0¢
100¢
N/A
$16,376
N/A
N/A
$12,561
3mo 2d
Yes
kalshi

Susannah Flood

0%
Yes 0¢No 100¢
100¢
N/A
$7,768
N/A
N/A
$6,592
3mo 2d
No
kalshi

Rose Byrne

0%
Yes 0¢No 100¢
100¢
N/A
$7,651
N/A
N/A
$3,806
3mo 2d
No
kalshi

Carrie Coon

0%
Yes 0¢No 100¢
100¢
N/A
$5,614
N/A
N/A
$3,848
3mo 2d
No
kalshi

Kelli O'Hara

0%
Yes 0¢No 100¢
100¢
N/A
$1,094
N/A
N/A
$988
3mo 2d
No
kalshi

Tie

0%
Yes 0¢No 100¢
100¢
N/A
$723
N/A
N/A
$723
3mo 2d
No
Total markets: 6

Intro

This market tracks which actress will win the Tony Award for Best Performance by an Actress in a Leading Role in a Play at the 79th Tony Awards ceremony. On Kalshi, Lesley Manville holds the leading probability at 86.0%, with Susannah Flood at 12.0%. The market resolves according to the official results announced at the 79th Tony Awards. Watch for the ceremony announcement to determine the winner among the nominated actresses.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the Tony Award for Best Performance by an Actress in a Leading Role in a Play on Kalshi. It displays current implied probabilities for each nominated actress, historical price movements, and live order-book depth. The interface shows total group trading volume of $39,225 and recent 24-hour activity of $27,450, helping traders monitor liquidity and market sentiment. Users can view individual contract prices, recent trades, and odds shifts to assess how the market is pricing each candidate's chances as the award date approaches.

Prediction market odds on Kalshi reflect real-money trading by informed participants and often diverge from traditional analyst predictions and award-show punditry. While analysts may rely on critical reviews, industry buzz, and historical voting patterns, markets aggregate live sentiment and shifting expectations into continuous price signals. The current market leader reflects crowdsourced conviction rather than a single expert opinion. Comparing Kalshi odds to major award forecasters and entertainment media predictions can reveal where consensus aligns or where traders see value that critics may have missed.

The market resolves on Dec 31, 2026, following the official announcement of the winner at the Tony Awards ceremony. Resolution is determined by the official Tony Awards results for Best Performance by an Actress in a Leading Role in a Play. Contracts for the winning actress resolve to 100, while all other actress contracts resolve to 0. Traders should monitor the official Tony Awards schedule and any changes to the ceremony date or format that might affect the resolution timeline.

Several catalysts can shift odds for the Tony Award for Best Performance by an Actress. Precursor awards—such as the Drama Desk Awards, Outer Critics Circle Awards, or other theater honors—often signal industry sentiment and can boost or diminish a nominee's perceived chances. Critical reviews and media coverage of nominated performances, cast interviews, and behind-the-scenes stories can sway trader perception. Unexpected casting news, performer injuries, or changes to the Tony Awards ceremony itself may also impact market pricing. Closer to the ceremony, final predictions from entertainment journalists and social-media momentum can drive last-minute trading volume and price adjustments.