TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 4, 10:54 AM EST
Kalshi
This event group tracks the professional tennis match between Alexandra Eala and Iga Swiatek at Wimbledon 2026 in the Round of 32, covering match outcomes, set winners, game totals, and set handicaps. The aggregated consensus across Kalshi, Polymarket, Limitless, and Predict shows 100.0% probability for the match occurring as scheduled. Resolution will be determined by the official WTA website. Watch for the match on July 3, 2026, as this is the scheduled date when the outcome will be determined and markets will settle.
This market refers to the tennis match between Alexandra Eala and Iga Swiatek in the Wimbledon WTA, originally scheduled for July 3, 2026 at 6:00AM ET. This market will resolve to 'Alexandra Eala' if Alexandra Eala advances against Iga Swiatek. This market will resolve to 'Iga Swiatek' if Iga Swiatek advances against Alexandra Eala. 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 WTA Tour. A consensus of credible reporting may also be used.
The market resolves based on the result of the Eala vs Swiatek professional tennis match in the 2026 Wimbledon Women Singles Round of 32, contingent upon a ball being played to confirm the match occurs. If the match does not begin due to player injury, walkover, forfeiture, or other cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes, provided this occurs within two weeks of the original date.
This market refers to the tennis match between Alexandra Eala and Iga Swiatek in the Wimbledon WTA, originally scheduled for July 3, 2026 at 6:00AM ET. This market will resolve to 'Alexandra Eala' if Alexandra Eala advances against Iga Swiatek. This market will resolve to 'Iga Swiatek' if Iga Swiatek advances against Alexandra Eala. 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 WTA Tour. A consensus of credible reporting may also be used.
This market will resolve to "Alexandra Eala" if Alexandra Eala defeats Iga Swiatek in their Wimbledon match originally scheduled for July 3, 2026, 09:03 UTC. It will resolve to "Iga Swiatek" if Iga Swiatek defeats Alexandra Eala. For the purposes of this market, a player officially declared the winner of the match will be considered to have defeated the opponent, including in cases of walkover, retirement, withdrawal, default, or disqualification.
Prediction markets and traditional sportsbooks price outcomes using different mechanisms. Sportsbooks set odds to balance liability and extract a margin, while prediction markets rely on trader supply and demand to discover prices. Prediction markets often reflect sharper, crowd-sourced probability estimates because traders have direct financial incentive to identify mispricing. However, sportsbook odds may incorporate additional factors like injury reports or late-breaking news faster. Comparing both sources helps you identify value and understand where professional and retail sentiment diverge.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Platform differences in user base, liquidity, fee structure, and market design can cause price divergence. Kalshi and Limitless may attract traders with different information sets or risk tolerances, leading one platform to price Eala's win probability higher or lower than the other. Liquidity depth also varies—thinner order books amplify the impact of large trades. These gaps typically narrow as traders arbitrage between platforms, but temporary spreads create opportunities for alert participants to exploit mispricings.
Several catalysts may shift odds before resolution. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific form updates often drive trader activity. Court conditions, draw positioning, and pre-match commentary from analysts can also influence sentiment. Media coverage and betting activity on external sportsbooks may cascade into prediction market moves. Monitor official tennis tour announcements and sports news closely, as unexpected developments frequently create volatility in player-matchup markets.