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Jakub Mensik vs Adrian Mannarino: Total Games
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Jakub Mensik vs Adrian Mannarino: Total Games

Volume:
$4,238

Over 22.5 games

 - Kalshi

Over 22.5 games - Kalshi

1W

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Positive

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Vol.

·

Resolved Jun 16, 2026

Closed: Jun 16, 9:31 AM EST

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

Over 22.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,888
N/A
N/A
$1,596
Settled
Yes
kalshi

Over 17.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$1,392
N/A
N/A
$1,392
Settled
Yes
kalshi

Over 27.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$958
N/A
N/A
$821
Settled
Yes
Total markets: 3

Description

Jakub Mensik and Adrian Mannarino will compete in a professional tennis match at the 2026 ATP London Round of 32 on June 15. The match length will be measured by the total number of games completed across all sets played.

Kalshi

Resolution is based on the total number of completed games in the full match between Jakub Mensik and Adrian Mannarino at the 2026 ATP London Round of 32. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to a fair price. If postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. Should a player retire, 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 Mensik vs Mannarino total games market displays real-time odds and price movements as traders buy and sell shares tied to the final game count in this matchup. You can monitor the current implied probability, 24-hour trading volume via $3,748, and historical price charts showing how market sentiment has shifted since the market opened. The interface lets you track which outcome is favored and how quickly odds are moving, giving you a live window into collective trader expectations for this tennis event.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven purely by trader belief and financial risk. Traders here have skin in the game and update positions continuously, sometimes leading prediction markets to move ahead of or contradict sportsbook lines. Comparing the two can reveal where sharp traders see value or where public perception differs from professional oddsmakers.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each possible total games outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective willingness to buy or sell at that level, and the implied probability is derived from the current best bid and ask. As new information emerges or trader conviction shifts, the order book updates in real time, allowing prices to adjust fluidly without relying on a centralized pricing algorithm.

This market resolves around Jun 15, 2026, once the Mensik vs Mannarino match concludes and the final game count is verified against credible public sources. The outcome is determined by the total number of games played across all sets in the match. Traders holding shares in the correct outcome at resolution will receive their payout, while incorrect positions expire worthless. Resolution timing depends on when the match is completed and the result is officially confirmed.

Key catalysts for this market include player form and recent match results, injury reports or fitness concerns affecting either competitor, head-to-head history and playing style matchups, court surface and tournament conditions, and pre-match commentary from analysts or the players themselves. Betting action from professional traders or sharp money can also shift odds quickly. As the match date approaches, any news about player preparation, mental state, or external factors like weather could prompt traders to adjust their positions, causing price swings in the total games prediction.