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406,065
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MATCHED EVENTS:
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PLATFORM COVERAGE:
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61%
ITF Gdansk: Raluca Georgiana Serban vs Gina Feistel Match O/U 22.5
- Polymarket
ITF Gdansk: Raluca Georgiana Serban vs Gina Feistel Match O/U 22.5 - Polymarket
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Vol.
·
Resolved Jun 25, 2026
Closed: Jul 2, 6:30 AM EST
Polymarket
This market refers to the tennis match between Raluca Georgiana Serban and Gina Feistel in the ITF Women Gdansk, originally scheduled for June 25, 2026 at 6:30AM ET. This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Gina Feistel. This market will resolve to 'Gina Feistel' if Gina Feistel advances against Raluca Georgiana Serban. 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 Raluca Georgiana Serban and Gina Feistel in the ITF Women Gdansk, originally scheduled for June 25, 2026 at 6:30AM ET. This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Gina Feistel. This market will resolve to 'Gina Feistel' if Gina Feistel advances against Raluca Georgiana Serban. 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 traditional sportsbooks price outcomes differently. Sportsbooks set odds based on statistical models and risk management, then adjust them to balance their book. Prediction markets, by contrast, aggregate trader beliefs through continuous price discovery—odds reflect what thousands of participants collectively believe will happen. This market's pricing may diverge from sportsbook lines because traders incorporate unique information, sentiment, or contrarian views. Comparing this market's implied probability to major sportsbook odds can reveal where consensus differs and highlight potential value.
On Polymarket, traders set prices by buying and selling shares that represent yes or no outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective belief of all active traders; if more traders expect Serban to win, the yes-share price rises, and vice versa. Liquidity and order flow drive price discovery in real time. You can enter limit or market orders to trade at your desired probability, and the market's price continuously adjusts based on supply and demand until resolution.
This market resolves around Jul 2, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official match result—whether Serban or Feistel wins the ITF Gdansk event. Traders who backed the correct winner will receive their payout, while incorrect positions expire worthless. Resolution timing depends on when the match is played and the result is publicly confirmed by reliable tennis sources.
Several factors could shift trader sentiment before resolution. Recent player form, head-to-head records, and injury updates are key catalysts. Court conditions, surface preference, and tournament draw positioning may also influence expectations. News about either player's training, confidence, or off-court circumstances can trigger repricing. Betting activity from sharp traders or sudden volume spikes often signal new information entering the market. As the match date approaches, any official announcements—such as schedule changes or player withdrawals—would likely cause rapid price movement.