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, 2:00 PM EST
Polymarket
This market refers to the tennis match between Alexis Nguyen and Lily Taylor in the ITF Women Los Angeles, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Alexis Nguyen' if Alexis Nguyen advances against Lily Taylor. This market will resolve to 'Lily Taylor' if Lily Taylor advances against Alexis Nguyen. 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 Alexis Nguyen and Lily Taylor in the ITF Women Los Angeles, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Alexis Nguyen' if Alexis Nguyen advances against Lily Taylor. This market will resolve to 'Lily Taylor' if Lily Taylor advances against Alexis Nguyen. 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 aggregate the collective beliefs of traders risking real capital. For this market, comparing Polymarket prices to major sportsbook lines can reveal whether professional oddsmakers or the broader trading community has a more bullish or bearish view of the outcome. These differences can highlight valuable information asymmetries.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker 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 aggregate probability assigned by all active traders; as new information emerges or sentiment shifts, the odds update in real time. You can enter or exit positions at any time before the market closes, and your trades directly influence the quoted price for other participants.
This market resolves around Jun 18, 2026, once the ITF Los Angeles match between Nguyen and Taylor concludes and the result is verified against credible public sources. The outcome is determined by the official match result—which player wins the contest. Resolution occurs automatically after the event is confirmed, and traders' positions settle based on the verified winner.
Market prices may shift in response to player injury reports, recent tournament performance, head-to-head records, court surface conditions, and weather forecasts closer to match day. Betting activity from informed traders can also signal shifting expectations. News about either player's form, ranking changes, or coaching adjustments may prompt repricing. As the match date approaches, increased trading volume and late-breaking updates typically drive the most significant probability swings.