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Remy Bertola vs Jurij Rodionov: Game Spread
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Remy Bertola vs Jurij Rodionov: Game Spread

Volume:
$2,242

Remy Bertola -1.5 games

 - Kalshi

Remy Bertola -1.5 games - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 9:33 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

Remy Bertola -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,166
N/A
N/A
$1,164
Settled
Yes
kalshi

Jurij Rodionov -2.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$865
N/A
N/A
$863
Settled
No
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Jurij Rodionov -5.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$211
N/A
N/A
$211
Settled
No
Total markets: 3

Description

This market tracks the game spread in a professional tennis match between Remy Bertola and Jurij Rodionov at the 2026 Wimbledon Men's Singles Qualification Round 2. Bettors predict whether one player will win by a margin greater than a specified number of games across the full match.

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Resolution is determined by the total game differential between the two players across the complete match. Each market outcome corresponds to a specific game spread threshold: if the favored player's game margin exceeds the stated threshold, that outcome resolves Yes; otherwise it resolves No. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves 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.

Frequently asked questions

On Kalshi, the dashboard for the Bertola vs Rodionov tennis match displays real-time odds and price movements tied to the game spread outcome. Traders can monitor current market pricing, historical price trends, and trading activity as the event approaches. The interface shows how the prediction market is pricing the likelihood of different spread scenarios, updated continuously as new trades execute. This live data helps participants track sentiment shifts and volatility leading up to the match.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set spreads to balance action and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook lines depending on information flow and trader conviction. Comparing the two can reveal where the crowd sees value or where consensus differs, though each operates independently with distinct rules and liquidity.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different spread outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the cumulative bids and asks from all participants, with the spread between buy and sell prices indicating liquidity depth. As new information emerges or trader sentiment shifts, prices adjust in real time. Participants profit or lose based on whether their position moves in their favor before the market resolves.

This market resolves around Jun 24, 2026, once the match concludes and the final spread result is verified against credible public sources. The outcome is determined by the official game statistics and the margin of victory relative to the predicted spread. Resolution happens automatically after confirmation, and all positions settle based on whether the actual result matched the predicted spread or fell on the other side. Traders should monitor official match reporting to anticipate the final determination.

Player form, recent match results, head-to-head history, and injury reports are key catalysts that can shift this market's pricing. Court surface preferences, weather conditions on match day, and betting line movements from major sportsbooks often trigger trader repositioning. Unexpected lineup changes or player withdrawals can cause sharp price swings. Media coverage and expert commentary may also influence sentiment. Traders typically watch for late-breaking news and monitor related markets to anticipate how new information will impact the spread outcome.