TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Janice Tjen vs Catherine McNally: Set 1 Winner
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Janice Tjen vs Catherine McNally: Set 1 Winner

Volume:
$6,198

Catherine McNally

 - Kalshi

Catherine McNally - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 7:15 AM EST

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Kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Catherine McNally

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,922
N/A
N/A
$1,441
Settled
Yes
kalshi

Janice Tjen

0%
Yes 0¢No 100¢
100¢
N/A
$4,276
N/A
N/A
$4,154
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the professional tennis match between Janice Tjen and Catherine McNally at the 2026 WTA Eastbourne tournament Round of 32 on June 22. The winner of set 1 determines the market resolution.

Kalshi

The market resolves based on which player wins set 1 in the Janice Tjen vs Catherine McNally professional tennis match at the 2026 WTA Eastbourne Round of 32. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at Fair Market Price as determined by the Exchange.

Frequently asked questions

On Kalshi, the Tjen vs McNally Set 1 winner market dashboard tracks real-time odds and price movements for this tennis matchup. The interface displays the current implied probability for each player to win the opening set, along with historical price data and trading volume. Traders use this dashboard to monitor how market sentiment shifts as new information emerges—such as player form, court conditions, or pre-match analysis. The 24-hour volume metrics help you gauge liquidity and the depth of interest in this particular outcome.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders who have real money at stake. For a tennis set winner like this one, sportsbook odds may emphasize historical matchup data and betting patterns, whereas this market incorporates live trader sentiment and real-time adjustments. Comparing the two can reveal where professional oddsmakers and decentralized traders disagree on the likely outcome.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective expectation of whether Janis Tjen or Catherine McNally will win Set 1, with prices ranging from near zero to one dollar. As traders place bids and asks, the market price adjusts continuously. Higher prices indicate stronger consensus that an outcome will occur, while lower prices suggest lower perceived probability among active participants.

This market resolves around Jun 22, 2026, once the tennis match concludes and the Set 1 result is confirmed. The outcome is verified against credible public sources covering professional tennis. Whichever player wins the first set will be recorded as the correct outcome, and all shares backing that player will be paid out at full value. Shares on the losing player expire worthless. Resolution typically occurs within hours of the match conclusion.

Several factors can shift odds in this market before the match begins. Recent performance data—such as Tjen's or McNally's results in recent tournaments—often triggers repricing. Court surface type and playing conditions at the venue may favor one player's style. Injury reports or last-minute lineup changes can cause sharp moves. Pre-match commentary from analysts and expert predictions may also influence trader positioning. As the match start time approaches, final betting action and any breaking news about player form or conditions typically drive the most significant price adjustments.