TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 17, 5:00 AM EST
Polymarket
This market refers to the tennis match between Tamara Zidansek and Nuria Brancaccio in the Modena, originally scheduled for June 10, 2026 at 5:00AM ET. This market will resolve to 'Tamara Zidansek' if Tamara Zidansek advances against Nuria Brancaccio. This market will resolve to 'Nuria Brancaccio' if Nuria Brancaccio advances against Tamara Zidansek. 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 refers to the tennis match between Tamara Zidansek and Nuria Brancaccio in the Modena, originally scheduled for June 10, 2026 at 5:00AM ET. This market will resolve to 'Tamara Zidansek' if Tamara Zidansek advances against Nuria Brancaccio. This market will resolve to 'Nuria Brancaccio' if Nuria Brancaccio advances against Tamara Zidansek. 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.
Prediction market odds on Polymarket often differ from traditional sportsbook odds because they reflect decentralized trader sentiment rather than bookmaker margins and risk management. Sportsbooks typically build in a vigorish or juice, while prediction markets aggregate real-time beliefs from many participants. For the Modena match between Zidansek and Brancaccio, comparing Polymarket prices to major sportsbooks can reveal whether the crowd expects different outcomes than professional oddsmakers. Discrepancies may highlight value or consensus shifts in player form.
On Polymarket, the Modena: Tamara Zidansek vs Nuria Brancaccio match is priced using an automated market maker model where share prices reflect the probability of each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell YES or NO shares, and the price adjusts based on supply and demand. The current market reflects collective expectations about the match result. Prices range from 0 to 100 cents per share, with higher prices indicating greater confidence in that outcome. Volume and liquidity on Polymarket determine how easily traders can enter or exit positions.
The Modena: Tamara Zidansek vs Nuria Brancaccio market resolves on Jun 17, 2026. Resolution is determined by the official result of the match as reported by recognized tennis authorities and data providers. The market will settle once the match concludes and the winner is confirmed. Traders should monitor official tournament announcements and reliable sports news sources for final confirmation before the resolution deadline.
Several factors could shift odds for the Zidansek versus Brancaccio match. Injury announcements or withdrawal news about either player would trigger sharp price moves. Recent tournament results, head-to-head records, and surface performance data may influence trader positioning. Court conditions at Modena, weather forecasts, and player form leading into the event can all impact market sentiment. Social media buzz, expert analysis, and betting syndicate activity may also drive volume and repricing as the match date approaches.