TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Alycia Parks vs Mananchaya Sawangkaew: Set 2 Winner
kalshi

Who will win Set 2: Parks vs Sawangkaew?

Volume:
$4,726

Mananchaya Sawangkaew

 - Kalshi

Mananchaya Sawangkaew - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 7:23 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

Mananchaya Sawangkaew

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,353
N/A
N/A
$3,032
Settled
Yes
kalshi

Alycia Parks

0%
Yes 0¢No 100¢
100¢
N/A
$1,372
N/A
N/A
$939
Settled
No
Total markets: 2

Description

This market determines the winner of the second set in the professional tennis match between Alycia Parks and Mananchaya Sawangkaew at the 2026 Wimbledon Women's Singles Round of 64 on July 1st. The outcome depends on which player wins the set according to standard tennis scoring rules.

Kalshi

Resolution is based on the outcome of set 2 in the Parks vs. Sawangkaew match at 2026 Wimbledon Women's Singles Round of 64. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If postponed or delayed, the market remains open until 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 resolved to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Parks vs Sawangkaew Set 2 winner market dashboard displays real-time odds and price history for this tennis matchup. The interface tracks which player traders believe will win the second set, updated continuously as new trades execute. You can monitor 24-hour volume and historical price movements to understand how market sentiment has shifted. The dashboard shows the current implied probability for each outcome, helping you assess the consensus forecast before placing your trade.

Prediction markets and sportsbooks price events differently because they operate under distinct models. Sportsbooks set odds to balance their book and manage risk, often incorporating a margin. Prediction markets like this one are driven by trader consensus—prices reflect what participants collectively believe will happen. This market aggregates dispersed information from many traders, which can reveal insights sportsbooks miss. Comparing the two can highlight where public opinion diverges from traditional oddsmakers, though each has strengths in different contexts.

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 belief about the likelihood of that outcome occurring. As traders submit bids and asks, the market price adjusts in real time. Higher prices indicate stronger conviction that an outcome will occur, while lower prices suggest lower perceived probability. You can trade at any posted price or place limit orders to execute at your target level.

This market resolves around Jul 1, 2026, once the second set of the Parks versus Sawangkaew match concludes. The outcome is determined by verified results from credible public sources covering professional tennis. Your position will settle based on which player actually wins that set. Until the event occurs and the result is confirmed, this market remains open for trading. Check the event details closer to the date for any updates on timing or format changes.

Several factors may shift prices in this market before resolution. Recent form and head-to-head records between the players can influence trader expectations. Injury reports or changes in player fitness closer to match day often trigger repricing. Court surface, weather conditions, and tournament context all affect tennis outcomes and trader sentiment. Media coverage and expert commentary may sway perception of each player's chances. As the match date approaches, any official announcements regarding player status or match scheduling could prompt significant trading activity and price movement.