TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

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MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

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39%

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Flavio Cobolli vs Arthur Fery: Total Games
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How many games will be played in the Cobolli vs Fery match?

Volume:
$135,008

Over 37.5 games

 - Kalshi

Over 37.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 8, 2026

Closed: Jul 8, 12:30 PM 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
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Over 37.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$94,450
N/A
N/A
$81,033
Settled
No
kalshi

Over 42.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$23,564
N/A
N/A
$14,087
Settled
No
kalshi

Over 32.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$16,994
N/A
N/A
$13,301
Settled
No
Total markets: 3

Description

This market predicts the total number of games played in the 2026 Wimbledon Men's Singles Quarterfinal between Flavio Cobolli and Arthur Fery. Bettors wager on whether the match will extend beyond various game thresholds, with longer matches indicating more competitive play.

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Resolution is based on the total count of completed games across the entire match. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to a fair price. Postponements or delays do not close the market; it remains open until the rescheduled match concludes within two weeks. If a player retires, markets that can be definitively settled from 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 Cobolli vs Fery total games market displays real-time odds and historical price movements as traders position themselves on the expected match length. You can monitor current implied probabilities, recent trading activity, and cumulative volume to gauge market sentiment around whether the match will extend beyond or fall short of a specific game threshold. The interface updates continuously, allowing you to track how consensus shifts as match details emerge and the event approaches.

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 protect margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. For this matchup, comparing the implied probability here to major sportsbook totals can reveal whether the crowd expects a longer or shorter contest than conventional oddsmakers. Such gaps sometimes signal value or consensus shifts in how the tennis community views the players' likely performance.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing 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 collective willingness of participants to commit capital, with higher prices indicating stronger belief in that scenario. As new information surfaces—such as player form, court conditions, or head-to-head history—traders adjust their positions, moving the price dynamically until the match concludes and the outcome is verified.

This market resolves around Jul 8, 2026, once the Cobolli versus Fery match is complete and the final game count is confirmed. The outcome will be verified against credible public sources covering professional tennis, ensuring an accurate tally of games played across all sets. Until that point, traders can continue adjusting positions as the match unfolds and new developments emerge.

Several factors may shift trader positioning in this market before resolution. Recent performance trends, injury reports, or surface-specific strengths of either player could prompt repricing. Head-to-head history and playing style matchups—such as whether one player typically extends rallies or closes points quickly—often influence expectations around match length. Court conditions, tournament context, and real-time match momentum once play begins will all drive active trading and price adjustments as the event unfolds.