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%

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Dimitrov vs Fery
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Who will win Dimitrov vs Fery?

Volume:
$9,291,700

Arthur Fery

 - Kalshi

Arthur Fery - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 6, 2026

Closed: Jul 6, 3:24 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
kalshi

Arthur Fery

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,669,432
N/A
N/A
$1,609,839
Settled
Yes
kalshi

Grigor Dimitrov

0%
Yes 0¢No 100¢
100¢
N/A
$4,622,269
N/A
N/A
$1,768,297
Settled
No
Total markets: 2

Intro

This market tracks whether Grigor Dimitrov will defeat Arthur Fery in their 2026 Wimbledon Men's Singles Round of 16 matchup. On Kalshi, Dimitrov holds a 60.0% probability of winning, while Fery carries a 40.0% probability. The market resolves based on the official result of the professional tennis match as determined by Wimbledon. Watch for the scheduled match on July 6, 2026, which will determine the final outcome once play begins.

Kalshi

The match must have a ball played to be considered official. If the match does not occur before play begins due to injury, walkover, forfeiture, or other cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes, provided the rescheduling occurs within two weeks.

Frequently asked questions

On Kalshi, the dashboard for the Dimitrov vs Fery tennis match displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current market sentiment, 24-hour trading volume, and how odds have shifted since the market opened. The interface lets you track which outcome is favored and by how much, giving you a live snapshot of collective prediction strength. This transparency helps you understand market conviction and spot turning points as new information emerges about player form, conditions, or other relevant factors.

Prediction market odds and sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are priced by traders who profit from accuracy. Traders have strong incentives to reflect true probabilities, since mispricing creates arbitrage opportunities. Over time, prediction markets tend to aggregate dispersed information efficiently. Comparing this market's odds to major sportsbooks can reveal where the two venues disagree, potentially signaling value or highlighting information asymmetries between casual bettors and professional traders.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell 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 collective belief in that outcome's probability, ranging from near-zero to near-100. As new information arrives—injury reports, recent form, or head-to-head records—traders adjust their positions, moving the price. Liquidity and trading volume influence how quickly prices respond to news. You can place limit or market orders to enter or exit your position at any time before the market closes.

This market resolves around Jul 6, 2026, once the tennis match concludes and the result is verifiable from credible public reporting. The outcome is determined by the official match result—which player wins the contest. No ambiguity exists in tennis outcomes; the winner is clear from the final score. All positions settle based on that verified result, and traders receive their payouts according to whether their prediction was correct.

Several catalysts can shift odds significantly before resolution. Injury announcements or withdrawal news about either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface preference (clay, grass, hard court) all influence trader sentiment. Court conditions, weather forecasts, and player form leading into match day matter too. Media coverage highlighting momentum or confidence can sway perception. Betting syndicates or sharp money entering the market may signal new information. Even minor updates—coaching changes, practice reports, or odds movement on related markets—can prompt traders to reassess and adjust their positions.