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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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Nicolas Mejia vs Gustavo Heide: Total Games
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Nicolas Mejia vs Gustavo Heide: Total Games

Volume:
$348

Over 20.5 games

 - Kalshi

Over 20.5 games - Kalshi

1W

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Vol.

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Resolved Jun 24, 2026

Closed: Jun 24, 9:22 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
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Over 20.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$124
N/A
N/A
$124
Settled
No
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Over 25.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$121
N/A
N/A
$119
Settled
No
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Over 30.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$103
N/A
N/A
$103
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Nicolas Mejia and Gustavo Heide during the 2026 Wimbledon Men's Singles Qualification Round 2 on June 24. Bettors can wager on whether the match will extend beyond specific game thresholds.

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Resolution is based on the total number of completed games across the entire match. 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 Mejia vs Heide total games market displays real-time odds and price movements as traders buy and sell shares tied to the final game count. You can monitor current probabilities, 24-hour trading volume, and historical price charts to see how market sentiment has shifted. The interface lets you track whether traders expect the matchup to go over or under a specific number of games, giving you a live snapshot of collective prediction activity on this particular event.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by traders risking real capital on their beliefs about the outcome. Prediction markets can sometimes offer sharper, more efficient pricing because traders have direct financial exposure. However, sportsbooks may incorporate additional proprietary data or adjust lines based on sharp money. Comparing both sources can reveal valuable discrepancies for informed decision-making.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different 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 ratio of buy and sell pressure, with shares trading between 0 and 100 cents. As new information emerges or trader conviction shifts, the price adjusts in real time. This dynamic pricing model ensures that the market continuously incorporates fresh expectations about the total number of games, allowing you to enter or exit positions at transparent, market-determined rates.

This market resolves around Jun 24, 2026, once the Mejia vs Heide matchup concludes and the final game count is verified against credible public sources. The outcome is determined by the actual number of games played in the series or event, confirmed through official reporting. Until that point, traders can continue to buy and sell shares as new developments unfold. Resolution is automatic once the event is complete and the data is finalized, settling all open positions based on the verified result.

Several factors could shift trader expectations and move prices in this market. Injury announcements, roster changes, or player form updates may alter perceived match competitiveness and series length. Betting line movements at major sportsbooks can signal sharp money and influence prediction market sentiment. Head-to-head history, recent performance trends, and coaching decisions may also prompt repricing. Media coverage highlighting fatigue, momentum, or tactical adjustments could sway the crowd. As the event approaches, real-time developments during play—such as unexpected upsets or dominant performances—will drive the most volatile price swings.