TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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30,097

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MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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Stefanos Tsitsipas vs Ignacio Buse: Set 1 Winner
kalshi

Stefanos Tsitsipas vs Ignacio Buse: Set 1 Winner

Volume:
$59,673

Ignacio Buse

 - Kalshi

Ignacio Buse - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 10:38 AM 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

Ignacio Buse

View
100%
Yes 100¢No 0¢
100¢
N/A
$37,457
N/A
N/A
$25,257
Settled
Yes
kalshi

Stefanos Tsitsipas

0%
Yes 0¢No 100¢
100¢
N/A
$22,216
N/A
N/A
$14,161
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the professional tennis match between Stefanos Tsitsipas and Ignacio Buse at the 2026 ATP Mallorca tournament. One of the two players will win set 1, and the market resolves based on who prevails in that specific set.

Kalshi

The market resolves to Yes for whichever player wins set 1 in the match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If postponed or delayed, the market remains open until 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 settled at Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Tsitsipas vs Buse Set 1 winner market dashboard tracks real-time odds and price movements for this tennis matchup. The interface displays current probabilities for each potential outcome, along with historical price data and trading volume metrics. You can monitor how sentiment shifts as match conditions evolve, view the cumulative trading activity, and access 24-hour volume snapshots to gauge market liquidity and trader engagement on this specific event.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set lines to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than traditional sports betting sites, particularly as new information emerges. Comparing the two can reveal where public consensus on the set outcome differs from professional oddsmakers' assessments.

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 who will win the first set, with higher prices indicating stronger conviction. As traders enter or exit positions, the price adjusts in real time, allowing you to enter at any point before the market closes and capturing the evolving probability throughout the trading window.

This market resolves around Jun 22, 2026, once the first set of the Tsitsipas versus Buse match concludes and the outcome is verifiable from credible public sources. The winning outcome is determined by official match records and confirmed through established sports reporting channels. Until that point, the market remains open for trading, allowing participants to adjust positions as the match progresses and new information becomes available.

Several factors can shift this market's odds before resolution. Player form, recent match results, and head-to-head history influence trader positioning. Court surface, weather conditions, and tournament context matter in tennis outcomes. Injury reports or last-minute lineup changes can trigger sharp repricing. Real-time match dynamics—such as early breaks, momentum swings, or service performance—often drive significant price movement as traders react to unfolding play and update their probability estimates accordingly.