TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Yannick Hanfmann vs Giovanni Mpetshi Perricard: Set 1 Winner
kalshi

Who will win set 1: Hanfmann vs Mpetshi Perricard?

Volume:
$24,341

Giovanni Mpetshi Perricard

 - Kalshi

Giovanni Mpetshi Perricard - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 7:07 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

Giovanni Mpetshi Perricard

View
100%
Yes 100¢No 0¢
100¢
N/A
$15,965
N/A
N/A
$9,458
Settled
Yes
kalshi

Yannick Hanfmann

0%
Yes 0¢No 100¢
100¢
N/A
$8,377
N/A
N/A
$7,276
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the professional tennis match between Yannick Hanfmann and Giovanni Mpetshi Perricard at the 2026 Wimbledon Men's Singles Round of 128 on June 29. The winner of set 1 determines the market resolution.

Kalshi

Resolution is determined by which player wins set 1 in the Hanfmann vs Mpetshi Perricard 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 settled at Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Hanfmann vs Mpetshi Perricard Set 1 market dashboard displays real-time odds for who will win the opening set of this tennis matchup. The interface shows the current price for each outcome, historical price movements, and trading volume data. You can monitor how odds shift as match conditions change and track cumulative activity. This dashboard lets traders assess sentiment and liquidity before placing orders on the Kalshi platform.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. For tennis set outcomes, prediction markets may react faster to real-time conditions like player form or court surface, whereas sportsbooks adjust more cautiously. Comparing both sources can reveal where consensus is strongest and where outlier views exist.

On Kalshi, this market is priced through an 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 probability assigned by active traders; higher prices indicate stronger expected likelihood. As new information emerges or trading interest shifts, prices adjust in real time. This continuous pricing model allows participants to enter or exit positions at transparent, market-determined rates throughout the trading window.

This market resolves around Jun 29, 2026, once the tennis match concludes and the Set 1 winner is confirmed. The outcome will be verified against credible public sources covering professional tennis results. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. Resolution timing depends on when the match is completed and the result is officially recorded.

Several factors can shift odds in this market before resolution. Recent player performance, head-to-head records, and court surface preference may influence trader positioning. Injury reports or withdrawal news could trigger sharp repricing. On match day, early-set momentum, break-point conversions, and serve performance will drive active trading. Weather conditions and crowd dynamics may also sway sentiment. Real-time score updates typically generate the most volatile price movements as traders reassess win probability.