TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Tsitsipas vs Djokovic
kalshi

Who will win Tsitsipas vs Djokovic?

Volume:
$2,854,710

Novak Djokovic

 - Kalshi

Novak Djokovic - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 4:35 PM EST

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Kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Novak Djokovic

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,270,251
N/A
N/A
$805,189
Settled
Yes
kalshi

Stefanos Tsitsipas

0%
Yes 0¢No 100¢
100¢
N/A
$1,584,459
N/A
N/A
$914,383
Settled
No
Total markets: 2

Intro

This market tracks the outcome of the professional tennis match between Novak Djokovic and Stefanos Tsitsipas in the 2026 Wimbledon Men's Singles Round of 64. On Kalshi, Djokovic winning is priced at 94.0%, while Tsitsipas winning stands at 8.0%. The market resolves based on the official result once the match concludes. Watch for the scheduled match on July 1, 2026, which will determine the final resolution.

Kalshi

The market resolves based on the winner of the Tsitsipas vs Djokovic match in the 2026 Wimbledon Men's Singles Round of 64, contingent upon a ball being played to confirm the match has occurred. If the match does not commence due to injury, walkover, forfeiture, or other cancellation before play begins, the market resolves to a fair price. Should the match be postponed or delayed, the market remains open and closes following the rescheduled match completion, provided this occurs within two weeks of the original date.

Frequently asked questions

On Kalshi, the dashboard for the Tsitsipas vs Djokovic tennis match displays real-time odds and price movements as traders position themselves on the outcome. You can monitor the current implied probability of each player winning, along with historical price charts showing how sentiment has shifted over time. The interface also shows $2,833,771 in 24-hour trading volume, giving you a sense of recent market activity and liquidity. These tools help traders assess both the consensus forecast and the intensity of recent trading interest in this matchup.

Prediction market odds and sportsbook odds often diverge because they reflect different incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets are driven by trader belief and real-money risk. This market aggregates the collective judgment of thousands of participants wagering their own capital, which can sometimes lead to sharper or more efficient pricing than traditional sportsbooks. Comparing the two can reveal where public opinion differs from professional oddsmakers, though both sources offer valuable perspective on the likely outcome.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. 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 willingness of market participants to bet on that player's victory, with the implied probability derived directly from the current bid-ask spread. As new information emerges or trader sentiment shifts, the price adjusts in real time. This transparent, auction-based approach allows you to enter or exit positions at market rates throughout the trading window.

This market resolves around Jul 1, 2026, once the tennis match concludes and the result is verifiable from credible public reporting. The outcome is determined by which player wins the match under standard professional tennis rules. Until that point, traders can continue to adjust their positions as match conditions, player form, or other factors shift expectations. Resolution is final once the official result is confirmed.

Several catalysts can shift odds before the match takes place. Recent tournament performance, injury reports, or changes in player ranking or form can trigger significant repricing. Head-to-head historical records and surface-specific strengths often influence trader positioning. Closer to the event date, weather conditions, court preparation, and pre-match commentary from analysts may prompt last-minute adjustments. Breaking news about either player's fitness or mental state can also cause sharp moves, as can shifts in public betting patterns that reveal new information or consensus.