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$134.1b

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2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

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2,692

PLATFORM COVERAGE:

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Quentin Halys vs Marcos Giron: Game Spread
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What is the game spread in Quentin Halys vs Marcos Giron?

Volume:
$709

Marcos Giron -1.5 games

 - Kalshi

Marcos Giron -1.5 games - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 11:31 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

Marcos Giron -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$356
N/A
N/A
$336
Settled
Yes
kalshi

Quentin Halys -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$184
N/A
N/A
$152
Settled
No
kalshi

Quentin Halys -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$169
N/A
N/A
$154
Settled
No
Total markets: 3

Description

This market measures the game differential between Quentin Halys and Marcos Giron in their first-round Wimbledon match on July 2, 2026. Bettors predict whether one player will win by more than specified game margins, reflecting the competitive balance between the players.

Kalshi

Resolution is based on the game differential across the full match in the 2026 Wimbledon Men's Singles Round of 64 between Quentin Halys and Marcos Giron. Markets assess whether Halys wins by more than specified margins, Halys wins by smaller margins, or Giron wins by more than specified margins. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to a fair price. Postponed or delayed matches remain 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 dashboard for the Halys vs Giron tennis match displays real-time odds and price movements tied to the game spread outcome. Traders can monitor current market pricing, historical price trends, and trading activity to gauge how the prediction market is valuing each side of the spread. The interface shows cumulative volume and allows you to place orders at live market rates, giving you a transparent view of how other traders are positioning themselves ahead of the match.

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 margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. This market may offer sharper or more efficient pricing than traditional sportsbooks, particularly if informed traders identify mispriced spreads. Comparing the two can reveal where market consensus differs from bookmaker consensus on the Halys-Giron matchup.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each outcome of the spread. 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 of all active traders; as new information emerges or sentiment shifts, traders adjust their bids and offers, moving the price up or down. This continuous auction process ensures that the market price incorporates available information in real time, allowing you to trade at transparent, market-determined rates.

This market resolves around Jul 2, 2026, once the Halys vs Giron match concludes and the final game spread result is verified against credible public sources. The outcome is determined by the official match records and scoring data. Until that point, traders can continue to buy and sell shares as new developments and match progress influence their expectations. Resolution is automatic once the event is complete and the spread outcome is confirmed.

Several factors could shift trader positioning in this market before Jul 2, 2026. Player form, recent match results, injury reports, and head-to-head history may influence expectations of the spread. Court conditions, weather, and tournament context can also sway sentiment. Real-time match developments—such as early set performance, momentum shifts, or unexpected tactical adjustments—often trigger sharp price moves as traders update their forecasts. Breaking news about either player's fitness or mental state could also prompt rapid repricing.