TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 2, 2:00 PM EST
Polymarket
This market refers to the tennis match between Camila Romero and Justina Gonzalez Daniele in the ITF Women Asuncion, originally scheduled for June 25, 2026 at 2:00PM ET. This market will resolve to 'Camila Romero' if Camila Romero advances against Justina Gonzalez Daniele. This market will resolve to 'Justina Gonzalez Daniele' if Justina Gonzalez Daniele advances against Camila Romero. 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 Camila Romero and Justina Gonzalez Daniele in the ITF Women Asuncion, originally scheduled for June 25, 2026 at 2:00PM ET. This market will resolve to 'Camila Romero' if Camila Romero advances against Justina Gonzalez Daniele. This market will resolve to 'Justina Gonzalez Daniele' if Justina Gonzalez Daniele advances against Camila Romero. 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 market odds often diverge from traditional sportsbook lines because they aggregate real-time trader conviction rather than relying on oddsmakers' models alone. Sportsbooks adjust lines to balance action and manage risk, while prediction markets let participants directly express their beliefs through price discovery. This market may reflect different weightings of player form, recent results, or head-to-head history compared to what a sportsbook prices in. Comparing the two can reveal where the crowd sees edge or where consensus differs from professional handicapping.
On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker or order-book system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the ratio of capital allocated to it relative to competing outcomes. As more traders back one player, that share price rises and the implied probability increases. Liquidity and trading volume influence how quickly prices adjust to new information, and the current market price represents the consensus expectation at any given moment.
This market resolves around Jul 2, 2026, once the match concludes and the winner is verified against credible public sources. The outcome is determined by the official result of the ITF Asuncion event between the two players. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. Resolution timing depends on when the match is completed and the result is confirmed through standard tennis reporting channels.
Key catalysts include recent tournament results, player injury reports, head-to-head record updates, and performance trends leading up to the event. Court surface conditions, weather forecasts, and draw announcements can shift trader expectations. Betting line movement from major sportsbooks may also influence prediction market participants. Any public statements from either player, coaching changes, or notable warm-up match results could trigger repricing. As the match date approaches, accumulating form data and player availability updates typically drive the largest market swings.