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$134.2b

24H VOL:

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2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

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MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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Miomir Kecmanovic vs Hamad Medjedovic: Total Games
kalshi

Miomir Kecmanovic vs Hamad Medjedovic: Total Games

Volume:
$4,102

Over 23.5 games

 - Kalshi

Over 23.5 games - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 22, 2026

Closed: Jun 22, 9:50 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

Over 23.5 games

View
49%
Yes 49¢No 51¢
100¢
N/A
$4,102
N/A
N/A
$4,102
Settled
No
kalshi

Over 18.5 games

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Over 28.5 games

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Miomir Kecmanovic and Hamad Medjedovic at the 2026 ATP Mallorca Round of 32 on June 22. Bettors can wager on whether the match will exceed various game thresholds, with longer matches producing higher game totals.

Kalshi

Resolution is based on the total number of completed games across the full match. 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 Kecmanovic vs Medjedovic 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 probability of different outcomes, historical price charts, and trading volume to understand how market sentiment has shifted. The interface lets you track whether the consensus leans toward fewer or more games being played, giving you a live window into how prediction market participants are pricing this tennis event.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and protect their margins, while prediction markets aggregate beliefs from traders risking real capital on outcomes. This market may show different implied probabilities than traditional sportsbooks, particularly if one venue has sharper or more active trading in tennis totals. Comparing the two can reveal where smart money is positioning itself ahead of the match.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing different game-count 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 balance between buyers and sellers at any given moment, with tighter spreads indicating higher confidence and liquidity. As new information emerges or trading activity intensifies, prices adjust dynamically to reflect the collective forecast of the market participants.

This market resolves around Jun 22, 2026, once the Kecmanovic vs Medjedovic 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. Resolution occurs after the match is officially completed and the result is confirmed through established tennis reporting channels, at which point traders' positions are settled based on the actual game total.

Market prices may shift based on player form, recent head-to-head records, court surface conditions, and injury reports leading up to the match. Betting patterns from professional bettors or sharp money can signal where informed traders expect the game total to land. Real-time match developments—such as early set outcomes, momentum swings, or unexpected player performance—will likely trigger repricing as traders update their forecasts. News about player fitness or tournament conditions could also influence how this market trades in the days before the event.