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%

BETA
Dashboards
Tour
All
Sports
Alex de Minaur vs Zachary Svajda: Set 3 Winner
kalshi

Who will win Set 3 between de Minaur and Svajda?

Volume:
$34,787

Alex de Minaur

 - Kalshi

Alex de Minaur - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 8:16 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alex de Minaur

View
100%
Yes 100¢No 0¢
100¢
N/A
$15,665
N/A
N/A
$10,954
Settled
Yes
kalshi

Zachary Svajda

0%
Yes 0¢No 100¢
100¢
N/A
$19,122
N/A
N/A
$17,013
Settled
No
Total markets: 2

Description

This market tracks the outcome of the third set in the professional tennis match between Alex de Minaur and Zachary Svajda at the 2026 Wimbledon Men's Singles Round of 32 on July 4. The market resolves based on which player wins the set.

Kalshi

The market covers the 2026 Wimbledon Men's Singles Round of 32 match between Alex de Minaur and Zachary Svajda. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is 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 de Minaur vs Svajda Set 3 winner market dashboard on Kalshi displays real-time odds for who will win the third set of this tennis matchup. The interface tracks the current price for each outcome, historical price movements, and 24-hour trading volume to help you monitor market sentiment. You can view how trader positions have shifted over time and identify key moments when confidence in either player changed. This live data enables you to spot emerging trends before they fully develop and make informed decisions about entry and exit timing.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set lines to balance their book and manage risk, while prediction markets like this one are priced by traders who stake real money on outcomes. Traders in this market incorporate their own analysis, live match data, and crowd sentiment to continuously adjust prices. Sportsbook odds may lag behind prediction market moves during fast-moving events, making this market a useful reference point for comparing consensus expectations against traditional betting lines.

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 belief about the likelihood of that player winning Set 3, with higher prices indicating stronger confidence. Traders can enter limit or market orders to adjust their exposure, and the bid-ask spread tightens as more volume flows through the market. This dynamic pricing ensures the odds stay current with new information and match sentiment.

This market resolves around Jul 4, 2026, once the third set of the de Minaur vs Svajda match concludes. The outcome is determined by verifying the official result against credible public sources covering professional tennis. Traders holding shares in the winning player's outcome will receive their payout automatically. Until that point, prices will fluctuate based on live match developments, player performance, and shifts in trader conviction.

Several factors could shift prices in this market before resolution. Early set performance—breaks of serve, momentum swings, and tactical adjustments—often trigger sharp repricing as traders update their expectations. Player fitness or visible fatigue heading into Set 3 can influence confidence in either outcome. Court conditions, weather, and crowd dynamics may also play a role. Real-time commentary and social media reaction from tennis analysts can accelerate price moves as new information reaches traders. Close calls and controversial line decisions during the first two sets may reshape perceived momentum.