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 21, 6:00 AM EST
Polymarket
This market refers to the tennis match between Raluca Georgiana Serban and Daria Kuczer in the ITF Women Olomouc, originally scheduled for July 14, 2026 at 6:00AM ET. This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Daria Kuczer. This market will resolve to 'Daria Kuczer' if Daria Kuczer 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 Daria Kuczer in the ITF Women Olomouc, originally scheduled for July 14, 2026 at 6:00AM ET. This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Daria Kuczer. This market will resolve to 'Daria Kuczer' if Daria Kuczer 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 events differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets derive prices from continuous trader activity and real-money stakes. This market reflects what thousands of participants actually believe will happen, often incorporating information faster than sportsbooks update their lines. Many traders use both venues to identify discrepancies, though prediction market prices tend to converge toward consensus as the event date approaches and new information emerges.
On Polymarket, this market is priced through an automated market maker that converts trader orders into real-time probability quotes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Buyers and sellers interact with a liquidity pool, and each trade shifts the odds based on supply and demand. The price you see represents the marginal cost of the next share, meaning early movers and late traders may face different odds for identical outcomes. This mechanism encourages continuous price discovery and rewards traders who spot mispricings before the crowd.
This market resolves around Jul 21, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will reflect which player wins the ITF Olomouc event. Traders holding shares in the winning outcome receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours of the final point, allowing quick settlement and capital redeployment to other markets.
Player form, recent match results, head-to-head history, and court conditions at the ITF Olomouc venue can all shift trader expectations before the match begins. Injury reports, weather forecasts, or late withdrawals would trigger sharp repricing. During the match itself, momentum swings, set outcomes, and visible fatigue often cause rapid probability shifts as traders react to live action. News coverage and expert commentary may also influence sentiment, especially if unexpected developments emerge in the hours leading up to play.