TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Tristan Boyer vs Andrea Pellegrino: Set 2 Winner
kalshi

Tristan Boyer vs Andrea Pellegrino: Set 2 Winner

Volume:
$749

Tristan Boyer

 - Kalshi

Tristan Boyer - Kalshi

1W

News

Positive

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Neutral

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Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 11:52 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
kalshi

Tristan Boyer

View
100%
Yes 100¢No 0¢
100¢
N/A
$542
N/A
N/A
$498
Settled
Yes
kalshi

Andrea Pellegrino

0%
Yes 0¢No 100¢
100¢
N/A
$207
N/A
N/A
$207
Settled
No
Total markets: 2

Description

This market determines the winner of the second set in the 2026 Wimbledon Men's Singles Qualification Final match between Tristan Boyer and Andrea Pellegrino, scheduled for June 24. The outcome depends on which player wins the set according to professional tennis scoring rules.

Kalshi

The market covers the second set of the Tristan Boyer vs Andrea Pellegrino professional tennis match in the 2026 Wimbledon Men Singles Qualification Final. 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 will resolve accordingly; those that cannot be settled will resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Boyer vs Pellegrino Set 2 winner market dashboard tracks real-time odds and price movements for this tennis matchup's second set outcome. The interface displays current implied probabilities for each player, historical price charts, and trading activity to help you monitor how market sentiment shifts as the event approaches. You can view aggregate liquidity and recent trade volume to gauge market depth and confidence in the competing outcomes.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by trader consensus and real-money risk. This market aggregates beliefs from many independent participants, which can sometimes surface information or sentiment that traditional sportsbooks price differently, making direct comparison useful for identifying value.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers for each 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 order—and moves in real time as new trades occur. Traders profit by correctly predicting the set winner, and the market price converges toward the true probability as new information emerges and the event date approaches.

This market resolves around Jun 24, 2026, once the second set of the Boyer vs Pellegrino match concludes and the winner is verified against credible public sources. The outcome is determined by which player wins the set according to official match records. All positions settle based on the confirmed result, and payouts are distributed to traders who backed the correct outcome.

Market prices may shift based on recent player performance, head-to-head records, court surface conditions, and injury reports leading up to the match. Betting activity and public sentiment can also influence odds as the event date nears. Real-time match developments—such as the outcome of the first set or early performance in the second set itself—will likely trigger sharp price movements as traders update their expectations based on live information.