TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

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30,097

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MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

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Kalshi:

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Yibing Wu vs Novak Djokovic: Set 3 Winner
kalshi

Who will win set 3: Wu vs Djokovic?

Volume:
$103,224

Novak Djokovic

 - Kalshi

Novak Djokovic - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 29, 2026

Closed: Jun 29, 4:43 PM EST

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Kalshi

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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

Novak Djokovic

View
100%
Yes 100¢No 0¢
100¢
N/A
$65,418
N/A
N/A
$35,253
Settled
Yes
kalshi

Yibing Wu

0%
Yes 0¢No 100¢
100¢
N/A
$37,806
N/A
N/A
$33,349
Settled
No
Total markets: 2

Description

This market tracks the winner of the third set in the professional tennis match between Yibing Wu and Novak Djokovic at the 2026 Wimbledon Men's Singles Round of 128 on June 29. One of the two players will win set 3 during this match.

Kalshi

The market resolves based on which player wins set 3 in the Yibing Wu vs Novak Djokovic match at 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 and closes after 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 resolved to Fair Market Price at the Exchange's discretion.

Frequently asked questions

The Wu vs Djokovic Set 3 market dashboard on Kalshi tracks real-time odds and historical price movements for this tennis matchup. Traders use the platform to buy and sell shares representing either player's chances of winning the third set. The dashboard displays current implied probabilities, 24-hour trading volume of $93,262, and cumulative volume of $103,224 across all positions. This live data helps bettors monitor shifting sentiment as the match progresses and new information emerges about player performance and conditions.

Prediction market odds often diverge from traditional sportsbook lines because they reflect real-time trader sentiment rather than fixed bookmaker spreads. On Kalshi, participants continuously adjust prices based on live match developments, injury reports, and crowd intelligence. Sportsbooks typically adjust less frequently and build in margin for profit. This market may show tighter or wider gaps depending on trading volume and consensus conviction. Comparing the two can reveal where professional bettors and casual traders disagree on the third set outcome.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit buy and sell orders at their chosen price points. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches orders in real time, and the last traded price becomes the current market quote. Prices range from 0 to 100, representing implied probability. Wider bid-ask spreads indicate lower liquidity or higher uncertainty, while tight spreads suggest strong consensus. Traders can place limit orders to execute at specific thresholds or market orders for immediate fills.

This market resolves around Jun 29, 2026, once the third set of the Wu vs Djokovic match concludes. The outcome is determined by verified reporting of the final set result from credible public sources covering professional tennis. Traders holding shares in the winning player receive the full payout, while losing positions expire worthless. Early resolution is possible if the match is abandoned or the set is forfeited, in which case the platform will announce terms promptly.

Several factors can shift odds before resolution. Injury updates or player fitness announcements typically trigger sharp moves, as do recent performance trends in warm-up matches. Court conditions, weather, and surface suitability for each player's style influence trader positioning. Real-time match momentum—breaks of serve, set momentum, and visible fatigue—drive intraday volatility. News about player motivation, ranking implications, or tournament context can also sway the market. Traders monitor live commentary and social media for early signals of shifting conditions.