TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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ITF Maanshan: Jaesung Choe vs Joshua Charlton
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ITF Maanshan: Jaesung Choe vs Joshua Charlton

Volume:
$920

ITF Maanshan: Jaesung Choe vs Joshua Charlton

 - Polymarket

ITF Maanshan: Jaesung Choe vs Joshua Charlton - Polymarket

1W

News

Positive

Negative

Neutral

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Vol.

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Resolved Jun 10, 2026

Closed: Jun 16, 11:00 PM EST

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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
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Ends in
Result
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ITF Maanshan: Jaesung Choe vs Joshua Charlton

View
0%
Yes 0¢No 100¢
—
N/A
$920
N/A
N/A
N/A
Settled
Yes
polymarket

Completed Match

100%
Yes 100¢No 0¢
0.9¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 2

Description

This market refers to the tennis match between Jaesung Choe and Joshua Charlton in the ITF Men Maanshan, originally scheduled for June 9, 2026 at 11:00PM ET. This market will resolve to 'Jaesung Choe' if Jaesung Choe advances against Joshua Charlton. This market will resolve to 'Joshua Charlton' if Joshua Charlton advances against Jaesung Choe. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the ITF Maanshan match between Jaesung Choe and Joshua Charlton on Polymarket. You can monitor live probability shifts, historical price charts, and current market depth as traders position themselves ahead of the match. The dashboard displays 24-hour volume data, top outcome probabilities, and key support and resistance levels. This single-venue view lets you follow how the market is pricing each player's chances as match day approaches, with timestamps and granular order flow visible throughout the trading session.

Prediction market odds on Polymarket often diverge from traditional sportsbook lines because they reflect real-time crowd sentiment and continuous trading rather than fixed bookmaker margins. Sportsbooks typically adjust odds less frequently and build in a vigorish, whereas prediction markets aggregate live trader conviction. For the Choe vs Charlton match, comparing Polymarket probabilities to major sportsbook offerings can reveal whether the crowd is more or less bullish on either player than professional oddsmakers. These differences highlight unique market inefficiencies and trader confidence levels not always visible in conventional betting venues.

On Polymarket, the Choe vs Charlton match is priced through continuous automated market makers and order books where traders buy and sell outcome shares. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a real-time probability derived from the current bid-ask spread and cumulative trading volume. Traders can enter or exit positions at any time before the market resolves on Jun 17, 2026, and prices update instantly as new orders flow in. The platform's transparent order history and live price feeds allow participants to track how confidence in each player shifts throughout the pre-match period.

Several factors could shift market odds for Choe vs Charlton before Jun 17, 2026. Recent tournament results, injury reports, or player withdrawals from other events can signal form changes. Head-to-head history, court surface preference, and training updates shared by players or coaches may influence trader positioning. Weather conditions at the venue and draw announcements for related tournaments can also affect confidence levels. Major upsets in the same tournament round or unexpected player statements often trigger sharp repricing. Monitor tennis news feeds and social media for breaking developments that could reshape market sentiment on either competitor.