TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

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2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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2,693

PLATFORM COVERAGE:

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Shintaro Mochizuki vs Ethan Quinn: Set 1 Winner
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Who will win set 1: Mochizuki vs Quinn?

Volume:
$56,589

Shintaro Mochizuki

 - Kalshi

Shintaro Mochizuki - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

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Resolved Jul 1, 2026

Closed: Jul 1, 11:32 AM EST

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

Shintaro Mochizuki

View
100%
Yes 100¢No 0¢
100¢
N/A
$18,884
N/A
N/A
$8,184
Settled
Yes
kalshi

Ethan Quinn

0%
Yes 0¢No 100¢
100¢
N/A
$37,706
N/A
N/A
$29,232
Settled
No
Total markets: 2

Description

This market tracks the winner of the first set in the professional tennis match between Shintaro Mochizuki and Ethan Quinn at the 2026 Wimbledon Men's Singles Round of 64, scheduled for July 1. The outcome depends on which player wins the set according to standard tennis scoring rules.

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Resolution is determined by the winner of set 1 in the specified match. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to fair price. Postponements or delays do not close the market; it 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 settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Mochizuki vs Quinn Set 1 winner market dashboard tracks real-time odds and price movement for this tennis matchup. The interface displays current implied probabilities for each player to win the opening set, along with 24-hour trading volume and historical price charts. Traders use this data to monitor shifting sentiment as match conditions, player form, and betting patterns evolve. The dashboard updates continuously during the trading window, allowing participants to place orders at competitive prices and monitor their positions throughout the event lifecycle.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than major sportsbooks, particularly as new information emerges or if one venue attracts more informed participants. Comparing the two can reveal where consensus differs and highlight potential value opportunities for bettors monitoring both venues.

On Kalshi, this market is priced through an order-book mechanism where traders submit buy and sell orders that determine the contract value between 0 and 100 cents. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective probability estimate of all active traders at any given moment. As new information surfaces—such as player injury reports, recent form, or head-to-head history—traders adjust their positions, moving the price up or down. This continuous price discovery process ensures the market remains responsive to changing conditions throughout the trading window.

This market resolves around Jul 1, 2026, once the Set 1 result is finalized and verifiable from credible public sources. The outcome is determined by the official match record—specifically, which player wins the first set of the Mochizuki vs Quinn contest. Once the set concludes and the result is confirmed through established sports reporting channels, the market settles accordingly. Traders holding positions on the winning outcome receive their payout, while those on the losing side forfeit their stake.

Several factors can shift prices before resolution. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific performance data influence trader sentiment. Court conditions, weather forecasts, and match scheduling changes also matter. Media coverage highlighting momentum or form trends can sway the odds. Additionally, betting activity from informed participants—such as professional traders or those with inside knowledge of player fitness—often precedes visible price moves. Real-time match commentary and live statistics once play begins will drive final adjustments.