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Sho Shimabukuro vs Jaime Faria: Total Games
kalshi

How many games will be played in the Sho Shimabukuro vs Jaime Faria match?

Volume:
$7,114

Over 40.5 games

 - Kalshi

Over 40.5 games - Kalshi

1W

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Positive

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Neutral

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 9:03 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 40.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,357
N/A
N/A
$6,316
Settled
Yes
kalshi

Over 35.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$585
N/A
N/A
$582
Settled
Yes
kalshi

Over 45.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$172
N/A
N/A
$153
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Sho Shimabukuro and Jaime Faria at the 2026 Wimbledon Men's Singles Round of 128 on June 30. Bettors predict whether the match will extend beyond various game thresholds, with longer matches indicating closer competition or extended rallies.

Kalshi

Resolution is based on the total number of completed games across the full match between Sho Shimabukuro and Jaime Faria in the 2026 Wimbledon Men's Singles Round of 128. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. If a player retires, any market that can be unconditionally settled based on completed play resolves accordingly; markets that cannot be settled resolve to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Shimabukuro vs Faria total games market displays real-time odds and price history as traders buy and sell shares tied to the final game count. You can monitor how the market's consensus shifts as new information emerges, track 24-hour volume to gauge trader activity, and review historical price movements to understand how sentiment has evolved. This market aggregates the collective prediction of all participants, offering a dynamic view of what traders believe the total number of games will be in this matchup.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set odds to balance liability and attract action on both sides, while prediction markets reflect the genuine belief of traders risking real capital. This market's odds may move faster or slower than traditional sportsbooks depending on trader conviction and available information. Comparing the two can reveal where the crowd sees value or where consensus differs, though each source has distinct incentives and methodologies for pricing outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different total game 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 supply and demand; as more traders believe a particular total is likely, the cost to buy shares in that outcome rises. Prices update in real time as new trades execute, allowing the market to incorporate breaking news, player updates, or other relevant signals instantly. This mechanism ensures that the odds always represent the marginal trader's current assessment.

This market resolves around Jun 30, 2026, once the Shimabukuro vs Faria match concludes and the final game count is verifiable from credible public reporting. The outcome will be confirmed based on the actual number of games played in the series or event. Until that point, traders can continue to buy and sell shares as new developments emerge. Resolution is final once the event is complete and the result is documented by authoritative sources.

Several factors could shift trader sentiment and move prices in this market. Injury reports or roster changes involving either player could alter expectations about match duration and competitiveness. Recent form, head-to-head history, or training updates may prompt traders to revise their forecasts. Venue or format announcements could also influence the expected number of games. As the event date approaches, media coverage and expert commentary often drive late trading activity. Any unexpected development—from player statements to scheduling changes—can trigger rapid repricing as the market absorbs new information.