TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Marc Polmans vs Grigor Dimitrov: Set 1 Winner
kalshi

Marc Polmans vs Grigor Dimitrov: Set 1 Winner

Volume:
$1,292

Grigor Dimitrov

 - Kalshi

Grigor Dimitrov - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 7:23 AM EST

kalshi

Kalshi

View
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

View
100%
Yes 100¢No 0¢
100¢
N/A
$553
N/A
N/A
$551
Settled
Yes
kalshi

Marc Polmans

0%
Yes 0¢No 100¢
100¢
N/A
$739
N/A
N/A
$739
Settled
No
Total markets: 2

Description

Marc Polmans and Grigor Dimitrov compete in the first set of their 2026 ATP Mallorca Round of 32 tennis match on June 23. The market determines who wins that specific set.

Kalshi

Resolution depends on which player wins set 1 of the professional tennis match between Marc Polmans and Grigor Dimitrov in the 2026 ATP Mallorca Round of 32. If the match does not occur before it starts 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 Polmans vs Dimitrov set 1 winner market displays real-time odds and price movements as traders buy and sell shares tied to each player's chances of winning the opening set. You can monitor the current implied probability for both outcomes, review historical price charts, and track trading activity to understand how market sentiment has shifted. This snapshot helps you gauge whether backing one player or the other represents value relative to your own assessment of the matchup.

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 the collective beliefs of traders risking real capital. This market may show tighter or wider gaps depending on how much attention professional bettors and casual traders are paying to the Polmans–Dimitrov matchup. Comparing the two can reveal where one venue perceives edge relative to the other.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each 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 aggregate willingness of buyers and sellers to transact at that level, with the implied probability derived directly from the current best bid and ask. As new information emerges or trader conviction shifts, prices adjust in real time, allowing you to enter or exit positions at market rates or place limit orders to execute at your target price.

This market resolves around Jun 23, 2026, once the first set of the Polmans–Dimitrov match concludes and the result is verified against credible public sources. The outcome is determined by which player wins the opening set according to official match records. Until that point, prices will fluctuate based on pre-match analysis, player form, court conditions, and any other factors traders believe influence the likelihood of each outcome.

Several catalysts could shift prices in this market before the match begins. Recent tournament results, injury reports, head-to-head records, and surface-specific performance data often drive trader repositioning. Court conditions, weather forecasts, and lineup confirmations closer to match day can also trigger volatility. Additionally, if either player's odds shift dramatically in other markets or if major sportsbooks adjust their lines, prediction market traders may react by repricing their positions, creating opportunities for contrarian bettors.