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 16, 4:45 AM EST
Polymarket
This market refers to the tennis match between Olga Danilova and Gabriela Andrea Knutson in the ITF Women Hurghada, originally scheduled for June 9, 2026 at 4:45AM ET. This market will resolve to 'Olga Danilova' if Olga Danilova advances against Gabriela Andrea Knutson. This market will resolve to 'Gabriela Andrea Knutson' if Gabriela Andrea Knutson advances against Olga Danilova. 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 on Polymarket often reflect different risk profiles than traditional sportsbooks. While sportsbooks incorporate margin and fixed spreads, prediction markets aggregate trader sentiment in real time, sometimes pricing outcomes more efficiently as new information emerges. For the Danilova versus Knutson match, comparing Polymarket odds to major sportsbook lines can reveal whether the market is pricing one player as undervalued or overvalued. Sportsbooks may move lines based on betting volume and liability management, whereas prediction markets adjust continuously based on trader conviction. Monitoring both sources helps identify potential value in this ITF Hurghada fixture.
On Polymarket, the Danilova versus Knutson match is priced through a continuous order-book mechanism where traders buy and sell shares representing each player's probability of winning. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The top outcome currently reflects market consensus on the likely winner. Prices fluctuate based on incoming trades, with the spread between bid and ask prices indicating liquidity and trader conviction. As match day approaches on Jun 16, 2026, prices typically tighten and become more volatile if new information surfaces regarding player fitness, recent form, or head-to-head records. Polymarket's transparent, user-driven pricing allows you to see exactly what the crowd believes about this ITF clay-court encounter.
The ITF Hurghada: Olga Danilova vs Gabriela Andrea market is scheduled to resolve on Jun 16, 2026. Resolution is determined by the official match result from the ITF Hurghada tournament. The outcome reflects which player wins the singles match, as recorded by the International Tennis Federation and confirmed through official tournament records. Once the match concludes and the result is verified, the market settles accordingly. Traders holding positions on the winning outcome receive their payout, while those on the losing side forfeit their stake. The resolution process ensures that prediction market prices accurately reflect real-world tennis competition.
Several factors could shift odds for the Danilova versus Knutson matchup before Jun 16, 2026. Recent tournament results and player form updates often trigger price movement, especially if either competitor posts a strong or weak performance in lead-up events. Injury announcements or fitness concerns can dramatically alter market sentiment. Head-to-head history and surface-specific statistics may influence trader positioning as the match draws closer. Weather conditions in Hurghada, court preparation details, and player motivation levels can all affect perceived win probability. Additionally, late-breaking news about player availability or coaching changes may prompt traders to reassess their positions. Monitoring these catalysts helps predict how odds will evolve.