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2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

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2,688

PLATFORM COVERAGE:

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Hugo Gaston vs Federico Cina: Total Games
kalshi

Hugo Gaston vs Federico Cina: Total Games

Volume:
$1,916

Over 17.5 games

 - Kalshi

Over 17.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 11:27 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

Over 17.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,434
N/A
N/A
$1,430
Settled
Yes
kalshi

Over 22.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$377
N/A
N/A
$367
Settled
No
kalshi

Over 27.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$105
N/A
N/A
$105
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Hugo Gaston and Federico Cina at the 2026 Wimbledon Men's Singles Qualification Final on June 24. Bettors can wager on whether the match will exceed various game thresholds.

Kalshi

The event resolves based on the total number of completed games across the full match between Hugo Gaston and Federico Cina at the 2026 Wimbledon Men's Singles Qualification Final. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks. Should a player retire, 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 at its sole discretion.

Frequently asked questions

On Kalshi, the dashboard for the Gaston vs Cina total games market displays real-time odds and price movements as traders buy and sell shares tied to the final game count in this matchup. You can monitor how the market is pricing the likely number of games, track 24-hour volume activity, and review historical price data to understand how sentiment has shifted. The interface lets you place orders at current market prices or set limit orders to trade at your target levels, giving you full transparency into how the prediction market is valuing this specific 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 risking real capital on outcomes. This market may price the total games differently than traditional sportsbooks because traders here have direct financial exposure and can trade continuously. Comparing the two can reveal where one venue sees value the other has missed, though both should converge closer to the event date as new information emerges.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different game-count outcomes. 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 collective willingness of traders to buy or sell at that level, creating a real-time probability estimate. As new information surfaces—player form, injury reports, or head-to-head trends—traders adjust their positions, moving prices up or down. This dynamic pricing ensures the market stays responsive to changing expectations throughout the trading window.

This market resolves around Jun 24, 2026, once the Gaston vs Cina match concludes and the final game count is verified against credible public sources. The outcome is determined solely by the actual number of games played in the contest. Until that point, traders can continue to adjust positions as the event approaches and new developments emerge. Resolution is automatic once the official result is confirmed, settling all open positions based on the verified game total.

Several factors could shift prices in this market before resolution. Player injuries or unexpected withdrawals would alter expectations about match length and competitiveness. Recent form, head-to-head history, and surface conditions (if applicable) can influence whether traders expect a quick or extended contest. Tournament draws, seeding changes, or scheduling updates may also prompt repricing. As the event date approaches, any official announcements or late-breaking news about either competitor's fitness or mental state could trigger sharp moves, so active traders monitor sports news closely during the final stretch.