TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 22, 1:00 PM EST
Polymarket
This market refers to the tennis match between Henry Lieberman and Dillon Beckles in the ITF Men Rochester, originally scheduled for July 15, 2026 at 1:00PM ET. This market will resolve to 'Henry Lieberman' if Henry Lieberman advances against Dillon Beckles. This market will resolve to 'Dillon Beckles' if Dillon Beckles advances against Henry Lieberman. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Henry Lieberman and Dillon Beckles in the ITF Men Rochester, originally scheduled for July 15, 2026 at 1:00PM ET. This market will resolve to 'Henry Lieberman' if Henry Lieberman advances against Dillon Beckles. This market will resolve to 'Dillon Beckles' if Dillon Beckles advances against Henry Lieberman. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Prediction markets and sportsbooks price events differently because they operate under distinct models. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs through continuous buying and selling. This market reflects the collective assessment of thousands of independent traders rather than a single operator's line. Over time, prediction markets often converge toward actual outcomes because traders with better information can profit by correcting mispriced shares. Comparing this market's odds to major sportsbooks can reveal where the two venues diverge most significantly.
On Polymarket, this market is priced through an automated market maker that adjusts odds continuously as traders place bets. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a share price between 0 and 100 cents, representing the implied probability; buying shares drives the price up, while selling drives it down. The spread between bid and ask prices reflects current liquidity and trading activity. Traders profit by correctly predicting the match result, and the market's price at any moment represents the crowd's best estimate of the probability.
This market resolves around Jul 22, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by the official match result—which player wins the ITF Rochester event. Traders who backed the correct winner receive their payout, while those on the losing side forfeit their stake. Resolution happens automatically once the event is confirmed through established tennis databases and official tournament records.
Several factors could shift trader sentiment before the match. Injury reports or player withdrawals would trigger sharp repricing, as would recent form updates or head-to-head record changes. Court surface conditions, weather forecasts, and betting line movements at major sportsbooks often influence prediction market prices. News about either player's ranking, recent tournament results, or coaching changes can also move odds. As the match date approaches, late-breaking developments and pre-match analysis from tennis experts typically drive increased trading volume and volatility in this market.