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%

BETA
Dashboards
Tour
All
Sports
Nicolas Mejia vs Michael Zheng: Set 1 Winner
kalshi

Who will win set 1: Mejia vs Zheng?

Volume:
$76,631

Nicolas Mejia

 - Kalshi

Nicolas Mejia - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 8:47 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

Nicolas Mejia

View
100%
Yes 100¢No 0¢
100¢
N/A
$25,228
N/A
N/A
$12,733
Settled
Yes
kalshi

Michael Zheng

0%
Yes 0¢No 100¢
100¢
N/A
$51,402
N/A
N/A
$40,170
Settled
No
Total markets: 2

Description

Nicolas Mejia and Michael Zheng will compete in the first set of their 2026 Wimbledon Men's Singles Round of 64 match on July 1. This market determines which player wins that set.

Kalshi

This market resolves based on the outcome of set 1 in the Nicolas Mejia vs Michael Zheng professional tennis match at the 2026 Wimbledon Men'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 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 resolved to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Mejia vs Zheng Set 1 winner market displays real-time odds and price movements as traders buy and sell shares tied to each player's chances of winning the opening set. You can monitor the current implied probability for each outcome, historical price charts, and trading activity to understand how market sentiment has shifted. This live data helps you track whether confidence in either competitor is growing or fading as match conditions and player performance unfold.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market aggregates trader conviction about who wins the set, which can sometimes lead or lag traditional sportsbook pricing depending on information flow and market depth. Comparing the two can reveal where informed traders see value.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each player's probability of winning the set. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the marginal trade—the last executed transaction—and converges toward the true probability as more information arrives and more capital flows in. Wider spreads between bid and ask indicate lower liquidity or higher uncertainty, while tight spreads suggest strong consensus.

This market resolves around Jul 1, 2026, once the first set of the Mejia vs Zheng match concludes and the winner is verified against credible public sources. The outcome is binary: one player will be confirmed as the set winner, and all shares backing that outcome will be worth one dollar, while the losing side expires worthless. Resolution timing depends on when the match is officially completed and reported by the relevant sports authority.

Key catalysts include recent head-to-head performance data, player injury reports or fitness updates, court conditions, and any pre-match commentary from analysts or the players themselves. Live match action—such as early breaks, momentum shifts, or tactical adjustments—will drive sharp repricing as traders react to real-time developments. Weather, equipment issues, or unexpected lineup changes could also trigger significant moves. Traders monitor these signals continuously to identify edges before the set concludes.