TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 5, 12:10 PM EST
Kalshi
This market tracks whether Novak Djokovic will defeat Roman Safiullin in their 2026 Wimbledon Men's Singles Round of 16 match. Aggregating data from Kalshi and Predict, the consensus probability stands at 96.0% for a Djokovic victory. The match is scheduled for July 5, 2026, and resolution will be determined by the official outcome of the professional tennis match as it unfolds on that date.
This event covers the professional tennis match between Roman Safiullin and Novak Djokovic in the 2026 Wimbledon Men's Singles Round of 16. Resolution requires that a ball be played in the match; if the match does not occur before play begins due to injury, walkover, forfeiture, or other cancellation, the market will resolve to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes, provided this occurs within two weeks of the original date. The winner is determined by standard professional tennis match outcomes.
This market refers to the tennis match between Roman Safiullin and Novak Djokovic in the Wimbledon ATP, originally scheduled for July 5, 2026 at 6:00AM ET. This market will resolve to 'Roman Safiullin' if Roman Safiullin advances against Novak Djokovic. This market will resolve to 'Novak Djokovic' if Novak Djokovic advances against Roman Safiullin. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the ATP Tour. A consensus of credible reporting may also be used.
Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity levels, and fee structures, which can cause temporary price gaps on the same event. Kalshi and Predict may also have slightly different market mechanics, order-book depth, or user bases with distinct information sets. Arbitrage traders often exploit these spreads, but differences can persist if one platform has higher volume or attracts more informed participants on this particular match. Monitoring both helps you understand where consensus is strongest.
Key catalysts include recent form and head-to-head records, injury reports or fitness updates for either player, court surface conditions and weather, and betting market activity from sportsbooks. Betting exchanges and social media sentiment can also shift trader positioning ahead of the match. Any official announcements about player status, tournament draws, or seeding changes may trigger repricing. As the match date nears, late-breaking news or warm-up tournament results often drive final price adjustments.