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Corentin Moutet vs Alejandro Davidovich Fokina: Exact Match Score
kalshi

Corentin Moutet vs Alejandro Davidovich Fokina: Exact Match Score

Volume:
$5,617

Alejandro Davidovich Fokina wins 2-0

 - Kalshi

Alejandro Davidovich Fokina wins 2-0 - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 18, 2026

Closed: Jun 18, 8:21 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alejandro Davidovich Fokina wins 2-0

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,131
N/A
N/A
$5,043
Settled
Yes
kalshi

Alejandro Davidovich Fokina wins 2-1

0%
Yes 0¢No 100¢
100¢
N/A
$328
N/A
N/A
$328
Settled
No
kalshi

Corentin Moutet wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$109
N/A
N/A
$109
Settled
No
kalshi

Corentin Moutet wins 2-1

0%
Yes 0¢No 100¢
100¢
N/A
$50
N/A
N/A
$50
Settled
No
Total markets: 4

Description

This market predicts the final set score of the professional tennis match between Corentin Moutet and Alejandro Davidovich Fokina at the 2026 ATP London Round of 16 on June 18. The match will be decided by the first player to win two sets, resulting in either a 2-0 or 2-1 final score.

Kalshi

The market resolves Yes to the outcome matching the exact final set score of the match. Possible outcomes are Corentin Moutet winning 2-0, Corentin Moutet winning 2-1, Alejandro Davidovich Fokina winning 2-1, or Alejandro Davidovich Fokina winning 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 Moutet vs Davidovich Fokina exact score market displays real-time odds and historical price movements as traders buy and sell shares tied to specific set scores. You can monitor how the probability of each potential outcome shifts throughout the trading window, track cumulative volume of $5,617, and review 24-hour activity at $5,606. The interface lets you compare different exact-score predictions side by side, helping you identify which outcomes are gaining or losing trader conviction ahead of the match.

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 trader beliefs through continuous price discovery. This market aggregates real-money commitments from participants wagering on the exact score, which can reveal information gaps or consensus that traditional sportsbooks may price differently. Comparing the two can highlight where public perception and market-derived probabilities align or conflict.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for each 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 contract reflects the marginal probability traders assign to that specific scoreline occurring. As new information emerges—player form, court conditions, or betting patterns—traders adjust their positions, moving prices up or down. The tighter the bid-ask spread, the more consensus exists around a particular outcome.

This market resolves around Jun 18, 2026, once the match concludes and the final score is verified against credible public sources. The outcome is determined by the exact set score at the end of play—for example, 2–0, 2–1, or 3–1 in sets. Only the outcome matching the precise scoreline you selected will be deemed correct; all other predictions expire worthless. Resolution typically occurs within hours of the match finishing.

Several catalysts can shift odds in this market before the match begins. Injury announcements, withdrawal confirmations, or changes in player ranking or recent form can alter trader expectations of the likely scoreline. Court surface conditions, weather forecasts, and head-to-head records may also influence probability assessments. Closer to the event, betting patterns from professional syndicates or sharp money can signal confidence in particular outcomes. Real-time match developments—such as early set results—will drive the most dramatic repricing once play starts.