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Raphael Collignon vs Juan Manuel Cerundolo: Exact Match Score
kalshi

Raphael Collignon vs Juan Manuel Cerundolo: Exact Match Score

Volume:
$3,532

Juan Manuel Cerundolo wins 2-1

 - Kalshi

Juan Manuel Cerundolo wins 2-1 - Kalshi

1W

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Vol.

·

Resolved Jun 22, 2026

Closed: Jun 22, 11:45 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

Juan Manuel Cerundolo wins 2-1

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,199
N/A
N/A
$1,162
Settled
Yes
kalshi

Raphael Collignon wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$1,027
N/A
N/A
$1,007
Settled
No
kalshi

Raphael Collignon wins 2-1

0%
Yes 0¢No 100¢
100¢
N/A
$755
N/A
N/A
$618
Settled
No
kalshi

Juan Manuel Cerundolo wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$551
N/A
N/A
$415
Settled
No
Total markets: 4

Description

This market predicts the exact final set score of the professional tennis match between Raphael Collignon and Juan Manuel Cerundolo at the 2026 ATP Eastbourne tournament. Bettors can wager on whether Collignon wins 2-0, Collignon wins 2-1, Cerundolo wins 2-1, or Cerundolo wins 2-0.

Kalshi

The market resolves based on the exact set score of the Raphael Collignon vs Juan Manuel Cerundolo match in the 2026 ATP Eastbourne Round of 32. Possible outcomes are Collignon 2-0, Collignon 2-1, Cerundolo 2-1, or Cerundolo 2-0. 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 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 resolved to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Collignon vs Cerundolo exact score market displays real-time odds and price movements as traders buy and sell shares tied to the final match result. You can monitor the current implied probability of each possible exact score outcome, along with 24-hour trading volume and historical price charts. The interface lets you track how market sentiment shifts as new information emerges, giving you a live window into what prediction market participants expect the final scoreline to be when these two players compete.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate the beliefs of traders risking real money on outcomes. This market aggregates trader conviction about the exact score, which may differ from traditional sportsbook pricing. Comparing the two can reveal where informed traders see value or where public perception diverges from market-implied probabilities, making both data sources useful for forming your own view.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers set the odds by placing bids and asks on each possible exact score outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome share reflects the collective willingness of traders to bet on that result, with prices ranging from near-zero to near-100 cents depending on perceived likelihood. As new information surfaces—player form, injury reports, or betting patterns—traders adjust their positions, and prices move accordingly to reflect updated expectations.

This market resolves around Jun 22, 2026, once the match concludes and the final exact score is verified against credible public sources. The outcome is determined solely by the official scoreline recorded at the end of play. Until that date, traders can continue to buy and sell shares as odds shift with breaking news, player updates, or other developments that might influence expectations about the final result.

Several catalysts could shift odds before resolution. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, or surface-specific performance data often spark trading activity. Court conditions, weather, or scheduling changes can also influence expectations. Betting patterns from sharp money or public sentiment swings may prompt traders to adjust positions. Any credible reporting about player form, mental state, or preparation could move this market, as traders continuously incorporate new information into their probability estimates.