TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 30, 9:43 AM EST
Kalshi
A professional tennis match between Jesper De Jong and Rinky Hijikata at the 2026 Wimbledon Men's Singles Round of 128 on June 29. The event tracks the game spread differential between the two players across the full match duration.
The event resolves based on the game differential between Jesper De Jong and Rinky Hijikata throughout their complete match. Each market outcome corresponds to a specific game spread threshold: Rinky Hijikata -5.5 games resolves Yes if Hijikata wins by more than 5.5 games; Rinky Hijikata -2.5 games resolves Yes if Hijikata wins by more than 2.5 games; and Jesper De Jong -1.5 games resolves Yes if De Jong wins by more than 1.5 games. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, all markets resolve to fair price. Postponed or delayed matches remain 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.
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 manage risk, while prediction markets like this one aggregate beliefs from traders who profit by forecasting accurately. This market may price the spread differently than major sportsbooks because traders here are directly exposed to the outcome, creating stronger incentives for precision. Comparing the two can reveal where consensus differs and highlight potential value opportunities.
On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the spread odds in real time. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders profit by correctly predicting the game outcome, so prices reflect the collective assessment of probability among active participants. As new information surfaces—injury reports, recent form, or betting flow—the price adjusts dynamically. The more traders participate, the more efficient and stable the pricing typically becomes.
This market resolves around Jun 30, 2026, once the De Jong vs Hijikata match concludes and the final spread is verifiable from credible public sources. The outcome is determined by the official game result and the margin of victory, which are cross-checked against established sports reporting. Resolution occurs after the event is complete and confirmed, ensuring accuracy before payouts are finalized. Traders holding positions will see their outcomes settled based on the verified final score.
Several factors can shift odds in this market before resolution. Player injury announcements, recent tournament results, or changes in ranking or form can trigger significant repricing. Court surface conditions, weather, and head-to-head history may also influence trader expectations. Betting flow from major sportsbooks or sharp bettors can signal new information and move prices. Media coverage highlighting momentum or tactical adjustments could sway sentiment. Any official statement about the match—delays, venue changes, or player status updates—will likely prompt immediate market reaction.