TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Yibing Wu vs Novak Djokovic: Set 2 Winner
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Who will win set 2: Wu or Djokovic?

Volume:
$104,560

Yibing Wu

 - Kalshi

Yibing Wu - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 29, 2026

Closed: Jun 29, 3:53 PM EST

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

Yibing Wu

View
100%
Yes 100¢No 0¢
100¢
N/A
$62,474
N/A
N/A
$36,668
Settled
Yes
kalshi

Novak Djokovic

0%
Yes 0¢No 100¢
100¢
N/A
$42,086
N/A
N/A
$35,176
Settled
No
Total markets: 2

Description

This market tracks the winner of the second 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 2 during this match.

Kalshi

The market resolves based on which player wins set 2 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 2 market dashboard on Kalshi tracks real-time odds and historical price movements for this tennis matchup. The interface displays the current probability for each potential outcome—either Yibing Wu or Novak Djokovic winning the second set—alongside 24-hour trading volume and cumulative liquidity. Traders use this data to monitor shifting sentiment as match conditions evolve. The dashboard updates continuously during the event window, allowing participants to place or adjust positions based on live performance and momentum shifts between the two competitors.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are priced by traders competing to forecast the actual outcome. This market aggregates distributed knowledge from many participants, which can reveal edges that traditional oddsmakers miss. However, sportsbooks may react faster to breaking news or injury reports, creating temporary gaps. Comparing both sources helps traders identify mispricings and refine their edge before resolution.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for either outcome. 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 executed transaction—and converges toward fair value as more information arrives and liquidity deepens. Traders can enter limit orders to wait for their target price or execute market orders for immediate fills. The spread between bid and ask tightens as volume increases, rewarding early liquidity providers and allowing late arrivals to trade with lower slippage.

This market resolves around Jun 29, 2026, once the second set of the Wu vs Djokovic match concludes and the winner is verified against credible public sources. The outcome is binary: either Wu or Djokovic will be confirmed as the set victor. Resolution occurs after the match is officially completed and reported by major sports media or the governing tennis body. Traders should monitor live match coverage to anticipate the likely outcome before the market closes, as final confirmation may take a brief period after the set ends.

Several factors can shift odds in this market before Jun 29, 2026. Early set performance—breaks of serve, momentum swings, and tactical adjustments—will drive real-time repricing as traders react to live action. Injury reports or player fatigue from the first set can alter perceived probabilities. Court conditions, weather, and crowd energy may also influence momentum. Betting syndicates and sharp traders often move the market on new information or pattern recognition. Close scorelines late in the set typically trigger the most volatile price swings, as the outcome becomes increasingly uncertain and traders reassess their positions.