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Dalibor Svrcina vs Learner Tien: Total Games
kalshi

How many games will be played in Svrcina vs Tien?

Volume:
$4,607

Over 28.5 games

 - Kalshi

Over 28.5 games - Kalshi

1W

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Vol.

·

Resolved Jun 29, 2026

Closed: Jun 29, 9:14 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 28.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,599
N/A
N/A
$3,555
Settled
Yes
kalshi

Over 33.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$823
N/A
N/A
$748
Settled
Yes
kalshi

Over 38.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$185
N/A
N/A
$173
Settled
Yes
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Dalibor Svrcina and Learner Tien at the 2026 Wimbledon Men's Singles Round of 128 on June 29. Bettors predict whether the match will extend beyond various game thresholds, with longer matches indicating more competitive sets.

Kalshi

Resolution is based on the total number of completed games across the full match. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to 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 Svrcina vs Tien total games market displays real-time odds and price movements as traders buy and sell shares tied to the match outcome. You can monitor the current probability estimate, historical price charts, and trading volume to understand how the market is pricing the expected number of games in this matchup. The interface updates continuously, allowing you to track shifts in sentiment as new information emerges about player form, head-to-head records, or other relevant factors leading up to the 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 manage risk, while prediction markets aggregate the collective beliefs of traders who have real money at stake. This market may show a different implied probability than traditional sports betting sites, particularly if informed traders spot value or if public perception lags behind expert analysis. Comparing the two can highlight where consensus differs most sharply.

On Kalshi, this market is priced through an 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 marginal trade—the last transaction executed—and converges toward the true probability as more information arrives and liquidity deepens. Traders profit by correctly predicting the total number of games, and the market price adjusts dynamically based on supply and demand for each outcome contract.

This market resolves around Jun 29, 2026, once the match between Svrcina and Tien concludes and the total number of games is verified against credible public sources. The outcome is determined by counting the actual games played in the matchup. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours of the final result being confirmed.

Several factors could shift odds in this market before resolution. Recent performance updates, injury reports, or changes in player ranking or form could alter expectations about match length. Head-to-head history and playing style matchups—such as whether one player tends to win decisively or push matches to longer formats—often influence total-games predictions. Media coverage, expert commentary, and betting patterns on related markets can also drive repricing as traders adjust their forecasts based on new information.