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Raphael Collignon vs Juan Manuel Cerundolo: Game Spread
kalshi

Raphael Collignon vs Juan Manuel Cerundolo: Game Spread

Volume:
$8,801

Raphael Collignon -4.5 games

 - Kalshi

Raphael Collignon -4.5 games - Kalshi

1W

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Positive

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Vol.

·

Resolved Jun 22, 2026

Closed: Jun 22, 11:46 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

Raphael Collignon -4.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,588
N/A
N/A
$2,712
Settled
No
kalshi

Raphael Collignon -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$2,909
N/A
N/A
$2,740
Settled
No
kalshi

Raphael Collignon -7.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$2,304
N/A
N/A
$2,304
Settled
No
Total markets: 3

Description

This market measures the game differential between Raphael Collignon and Juan Manuel Cerundolo in their 2026 ATP Eastbourne Round of 32 match. Bettors wager on whether one player will win by a specific margin in total games played throughout the match.

Kalshi

The event resolves based on the game differential across the full match between Raphael Collignon and Juan Manuel Cerundolo in the 2026 ATP Eastbourne Round of 32. Resolution depends on which player achieves a greater cumulative game advantage: Raphael Collignon winning by more than 7.5, 4.5, or 1.5 games. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If 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 settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Collignon vs Cerundolo tennis match tracks real-time odds and price movements on the game spread outcome. You can monitor how traders are pricing the expected margin of victory throughout the market's lifetime. The interface displays current bid-ask spreads, historical price charts, and trading volume to help you understand market sentiment. This live data reflects how participants collectively assess the likely point differential between the two players heading into their matchup.

Prediction market odds and 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 aggregate beliefs from traders who have real money at stake on outcomes. This market's odds may move faster or slower than traditional sportsbooks depending on new information, player news, or shifts in trader conviction. Comparing the two can reveal where public perception differs from market-derived probability estimates.

On Kalshi, this market is priced through an 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 contract reflects the collective probability assigned by active traders. As new information emerges—such as player form, injury updates, or court conditions—traders adjust their positions, moving the price up or down. Your entry and exit prices depend on the current bid-ask spread and the volume available at each price level.

This market resolves around Jun 22, 2026, once the match concludes and the final score is verified. The outcome is determined by the actual point spread between Collignon and Cerundolo's final game scores, confirmed through credible public reporting of the match result. Traders holding positions aligned with the actual spread at resolution will receive their payout, while those on the opposite side will lose their stake. The exact resolution hinges on the official match record becoming publicly available.

Several factors could shift this market significantly before resolution. Recent player performance, head-to-head records, and ranking changes often influence trader positioning. Court surface preference, weather conditions on match day, and any injury announcements can trigger sharp price moves. Media coverage highlighting one player's form or psychological edge may also sway sentiment. Additionally, if either player's recent tournament results shift expectations about their current level, traders will reprice the spread accordingly.