TOTAL VOLUME:

$134b

24H VOL:

$87,176,691

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,391,958,194

394,660

Markets across

30,119

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Daniel Michalski vs Calvin Hemery: Set 1 Winner
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Who will win set 1: Michalski vs Hemery?

Volume:
$1,433

Calvin Hemery

 - Kalshi

Calvin Hemery - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 11, 2026

Closed: Jul 11, 7:21 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

Calvin Hemery

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,134
N/A
N/A
$816
Settled
Yes
kalshi

Daniel Michalski

0%
Yes 0¢No 100¢
100¢
N/A
$299
N/A
N/A
$299
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in a professional tennis match between Daniel Michalski and Calvin Hemery during the 2026 ATP Gstaad Qualification Round 1 on July 12. The winner of set 1 determines the market resolution.

Kalshi

The market resolves based on which player wins set 1 in the Daniel Michalski vs Calvin Hemery 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 Michalski vs Hemery Set 1 market dashboard displays real-time odds and price movements for predicting who will win the first set of this tennis matchup. The interface tracks current market probability, historical price charts, and 24-hour trading volume to help you monitor sentiment shifts. You can view the latest odds alongside order-book depth, allowing you to assess liquidity and timing for your trades. This dashboard updates continuously as new predictions flow in, giving you a live snapshot of how the crowd is pricing each player's chances heading into the match.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance action and lock in profit margins, while prediction markets like this one aggregate the beliefs of traders risking real money on outcomes. Prediction markets typically update faster in response to breaking news or injury reports, whereas sportsbooks may lag slightly to avoid sharp bettors exploiting stale lines. Neither is inherently more accurate, but comparing them can reveal where public opinion and professional oddsmakers disagree on this market's outcome.

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 crowd's collective probability estimate, ranging from near zero to near one dollar. As new trades execute, the price adjusts instantly to match supply and demand. You can place limit or market orders to enter or exit your position, and the bid-ask spread tightens as volume increases, making it easier to trade at fair prices during active periods.

This market resolves around Jul 12, 2026, once the first set of the Michalski vs Hemery match concludes and the result is verified against credible public sources. The outcome is determined by whichever player wins the set according to official tennis scoring rules. At that point, winning shares pay out one dollar and losing shares expire worthless. Until resolution, you can trade your position at any time, allowing you to lock in profits, cut losses, or adjust your exposure based on new information.

Several factors could shift odds before the match begins or during play. Injury announcements, recent form updates, or changes in player rankings can trigger rapid repricing as traders reassess win probabilities. Head-to-head history and court surface preference may also influence sentiment. During the set itself, momentum swings—such as a player winning consecutive games or breaking serve—will cause sharp price movements as live traders react to on-court developments. Weather conditions, crowd energy, and unexpected tactical adjustments can all serve as catalysts for volatility in this market.