TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

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MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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39%

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Kalshi:

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Arthur Fery vs Toby Samuel: Set 1 Winner
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Arthur Fery vs Toby Samuel: Set 1 Winner

Volume:
$5,571

Arthur Fery

 - Kalshi

Arthur Fery - Kalshi

1W

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Positive

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Vol.

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Resolved Jun 16, 2026

Closed: Jun 16, 8:46 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

Arthur Fery

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,138
N/A
N/A
$5,095
Settled
Yes
kalshi

Toby Samuel

0%
Yes 0¢No 100¢
100¢
N/A
$433
N/A
N/A
$413
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the professional tennis match between Arthur Fery and Toby Samuel at the 2026 ATP London Round Of 32 on June 14. Bettors predict which player will win set 1 of this competitive match.

Kalshi

The market resolves based on which player wins set 1 in the Arthur Fery vs Toby Samuel professional tennis match at the 2026 ATP London Round Of 32. 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 resolve accordingly; those that cannot are resolved to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Fery vs Samuel Set 1 winner market displays real-time odds and historical price movements as traders position themselves on the outcome of the first set. You can monitor current implied probabilities, 24-hour trading volume, and order book depth to gauge market sentiment. The interface tracks how confidence shifts as new information emerges—whether from pre-match analysis, player form, or live court conditions. This snapshot helps traders understand liquidity and conviction levels among participants betting on who will win the opening set of this matchup.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are driven by trader belief and real-money conviction. Prediction markets typically incorporate breaking news and sentiment shifts faster than sportsbooks adjust their lines. For this tennis matchup, comparing the implied probability here to major sportsbook spreads can reveal where the crowd sees edge or where sharp money is flowing. Both venues offer valuable signals, but they rarely move in lockstep.

On Kalshi, this market is priced through an order-book mechanism where buyers and sellers submit bids and offers on the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders who believe Arthur Fery will win Set 1 bid up the contract price, while those favoring Toby Samuel push it lower. The equilibrium price reflects the collective assessment of all active participants at any moment. As match conditions change or new information surfaces, the price adjusts dynamically. Kalshi's transparent order flow means you can see exactly where liquidity sits and how conviction is distributed across both sides of the bet.

This market resolves around Jun 14, 2026, once the first set of the Fery vs Samuel match concludes and the winner is verified against credible public reporting. The outcome is determined by which player wins the set according to official tennis scoring rules. No ambiguity exists in set outcomes—one player will have won more games and claimed the set. Resolution typically occurs within hours of the match completion, allowing traders to settle positions quickly. Until that point, the market remains open for trading as new developments and live match data influence prices.

Several factors could shift this market significantly before Jun 14, 2026. Pre-match news—such as injury reports, recent form, head-to-head records, or court surface conditions—often triggers repricing as traders digest new information. Live match momentum during the set itself is a major catalyst; early breaks, momentum swings, and player confidence visibly affect pricing. Betting syndicates or sharp money entering the market can also move odds rapidly. Weather conditions, crowd dynamics, or unexpected tactical adjustments during play may prompt traders to reassess probabilities. Each of these signals compounds as the match approaches and unfolds, making this market highly responsive to real-time developments.