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Marc Polmans vs Grigor Dimitrov: Game Spread
kalshi

Marc Polmans vs Grigor Dimitrov: Game Spread

Volume:
$6,355

Grigor Dimitrov -4.5 games

 - Kalshi

Grigor Dimitrov -4.5 games - Kalshi

1W

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Positive

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Neutral

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Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 8:15 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

Grigor Dimitrov -4.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,635
N/A
N/A
$2,949
Settled
Yes
kalshi

Grigor Dimitrov -1.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$1,214
N/A
N/A
$1,214
Settled
Yes
kalshi

Grigor Dimitrov -7.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$1,507
N/A
N/A
$738
Settled
No
Total markets: 3

Description

This market tracks the game differential between Marc Polmans and Grigor Dimitrov in their professional tennis match at the 2026 ATP Mallorca Round Of 32. Bettors wager on whether Grigor Dimitrov will win by a specified game margin or whether the match will be closer than expected.

Kalshi

The market resolves based on the game differential across the full match between Marc Polmans and Grigor Dimitrov in the 2026 ATP Mallorca Round Of 32, measuring the net advantage in games won by either player. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. Postponed or delayed matches remain 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 settled at Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Polmans vs Dimitrov tennis match displays real-time odds and price movements tied to the game spread outcome. Traders can monitor current market pricing, historical price trends, and trading activity to gauge how the prediction market is pricing the margin of victory. The interface shows the latest contract prices, allowing participants to track shifts in sentiment as match conditions and player performance data emerge. This live data helps traders make informed decisions about their positions in this market.

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 lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show odds that differ from major sportsbooks, especially as new information surfaces or trader conviction shifts. Comparing the two can reveal where the crowd sees edge or where consensus differs, though each venue operates independently with its own pricing dynamics.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts reflecting their belief in the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices fluctuate based on supply and demand, with each contract representing a discrete outcome. Traders can enter limit or market orders to adjust their exposure, and the platform displays the best bid and ask prices in real time. This transparent, auction-style pricing allows participants to enter and exit positions dynamically as new information arrives.

This market resolves around Jun 23, 2026, once the match concludes and the final game spread is verifiable from credible public reporting. The outcome is determined by the official margin of victory in games between the two players. Resolution hinges on confirmed match results from authoritative sports data sources, ensuring accuracy and fairness for all traders. Until that point, prices will continue to reflect evolving expectations about the likely spread.

Several factors may shift prices in this market before resolution. Player form and recent match results are key catalysts, as are injury reports or fitness concerns affecting either competitor. Court conditions, surface preference, and head-to-head history can also influence trader sentiment. Real-time match developments—such as early set outcomes or momentum swings—typically trigger sharp repricing as traders update their spread forecasts. Media commentary and expert analysis may further sway the crowd, making this market responsive to both pre-match fundamentals and live action.