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: Jun 18, 1:15 PM EST
Polymarket
This market refers to the tennis match between Zuzanna Pawlikowska and Jaedan Brown in the ITF Women Decatur, originally scheduled for June 11, 2026 at 1:15PM ET. This market will resolve to 'Zuzanna Pawlikowska' if Zuzanna Pawlikowska advances against Jaedan Brown. This market will resolve to 'Jaedan Brown' if Jaedan Brown advances against Zuzanna Pawlikowska. 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 Zuzanna Pawlikowska and Jaedan Brown in the ITF Women Decatur, originally scheduled for June 11, 2026 at 1:15PM ET. This market will resolve to 'Zuzanna Pawlikowska' if Zuzanna Pawlikowska advances against Jaedan Brown. This market will resolve to 'Jaedan Brown' if Jaedan Brown advances against Zuzanna Pawlikowska. 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 and 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 like this one are driven by trader belief and financial risk. Sportsbooks may adjust faster for sharp money, whereas prediction markets can incorporate longer-term analysis and niche expertise. Neither is inherently more accurate; comparing the two helps identify where consensus differs and may reveal value opportunities in either venue.
On Polymarket, traders set prices by buying and selling outcome shares, with the current price reflecting the collective probability estimate. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more capital flowing into a given outcome, the higher its price climbs; conversely, selling pressure lowers it. This continuous auction mechanism ensures prices adapt in real time to new information, injuries, or betting patterns. Liquidity and order flow directly influence how quickly prices move, making active markets more responsive than thinly traded ones.
This market resolves around Jun 18, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by the official match result, confirmed through established tennis records and tournament documentation. Resolution typically occurs within hours of the final point, allowing traders to settle positions quickly. Early resolution may occur if the match is cancelled or postponed under specific conditions outlined at market creation.
Key catalysts include player injury announcements, recent form and ranking changes, head-to-head history, court surface conditions, and weather forecasts on match day. Betting action from sharp traders or large position moves can also shift odds significantly. News about either player's fitness, coaching changes, or personal circumstances may influence sentiment. As the match date approaches, accumulating real-time data—such as warm-up results or pre-match interviews—typically drives final price adjustments before the opening serve.