TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

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30,214

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MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

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39%

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Kalshi:

61%

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Naomi Osaka vs Magdalena Frech: Set 1 Winner
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Naomi Osaka vs Magdalena Frech: Set 1 Winner

Volume:
$69,638

Naomi Osaka

 - Kalshi

Naomi Osaka - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 22, 2026

Closed: Jun 22, 7:29 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

Naomi Osaka

View
100%
Yes 100¢No 0¢
100¢
N/A
$19,126
N/A
N/A
$11,684
Settled
Yes
kalshi

Magdalena Frech

0%
Yes 0¢No 100¢
100¢
N/A
$50,512
N/A
N/A
$28,031
Settled
No
Total markets: 2

Description

This market covers the outcome of the first set in the professional tennis match between Naomi Osaka and Magdalena Frech at the 2026 WTA Bad Homburg tournament. The winner of set 1 will be determined by standard tennis scoring rules, where the first player to win 6 games with a 2-game lead claims the set.

Kalshi

This market resolves based on the outcome of Set 1 in the Naomi Osaka vs Magdalena Frech match at the 2026 WTA Bad Homburg Round of 32. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to 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 during the match, any market that can be unconditionally settled based on completed play will resolve accordingly; markets that cannot be definitively settled will resolve to fair market price at the Exchange's discretion.

Frequently asked questions

The Osaka vs Frech Set 1 winner market dashboard on Kalshi tracks real-time odds and trading activity for this tennis matchup. You can monitor the current price for each outcome, view the 24-hour volume of $69,638, and observe how trader sentiment shifts as the match approaches. The dashboard displays historical price movements, allowing you to see how confidence in each player has evolved. Total trading volume across this market stands at $69,638, reflecting active participation from prediction market participants evaluating the likelihood of each player winning the opening set.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and generate profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market aggregates real-money forecasts from participants who profit by accurately predicting the Set 1 winner, creating a mechanism that can sometimes outperform conventional oddsmaking. Comparing this market's odds to major sportsbooks reveals whether traders are pricing in factors that bookmakers may have initially overlooked or weighted differently.

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 probability assigned by active traders; as new information emerges or sentiment shifts, bids and asks adjust accordingly. Traders profit by purchasing shares they believe are underpriced and selling those they view as overvalued. This dynamic pricing model ensures that the market continuously incorporates new data, news, and analysis related to the Osaka versus Frech matchup leading up to the event.

This market resolves around Jun 22, 2026, once the Set 1 outcome is verifiable from credible public reporting of the match. The winner is determined by standard tennis rules: the first player to win six games with a two-game margin claims the set. Resolution occurs after the set concludes and the result is confirmed through official match records or reputable sports data sources. Traders holding shares in the correct outcome receive their payout once the market settles.

Several factors could shift odds before the match begins. Recent player form, head-to-head records, and surface performance history influence trader positioning. Injury reports or last-minute withdrawals would trigger sharp repricing. Court conditions, weather forecasts, and tournament momentum also matter; a player's confidence after a dominant prior-round victory often moves markets. Media narratives and expert commentary can sway sentiment. Closer to match time, warm-up results and official lineups may prompt final adjustments. Real-money traders continuously reassess these variables, so significant developments in either player's preparation or circumstances will be reflected in price movements.