TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 17, 4:25 PM EST
Polymarket
This market refers to the tennis match between Jazmin Ortenzi and Paula Badosa in the Sao Paulo Open, originally scheduled for September 17, 2026 at 1:30PM ET. This market will resolve to 'Jazmin Ortenzi' if Jazmin Ortenzi advances against Paula Badosa. This market will resolve to 'Paula Badosa' if Paula Badosa advances against Jazmin Ortenzi. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 1, 2026, 11:59 PM ET (14 days after the scheduled start), 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 Jazmin Ortenzi and Paula Badosa in the Sao Paulo Open, originally scheduled for September 17, 2026 at 1:30PM ET. This market will resolve to 'Jazmin Ortenzi' if Jazmin Ortenzi advances against Paula Badosa. This market will resolve to 'Paula Badosa' if Paula Badosa advances against Jazmin Ortenzi. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 1, 2026, 11:59 PM ET (14 days after the scheduled start), 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.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook odds due to the diverse perspectives and information incorporated by market participants. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Over time, prediction market prices often become more accurate than traditional odds, as more information becomes available and is factored into trading decisions. However, discrepancies can still occur, particularly before significant events or breaking news.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in the likelihood of each outcome. As more shares are traded, the price adjusts to reflect the collective sentiment. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share directly corresponds to the implied probability of that outcome occurring. For example, a share priced at 60 means there is a 60% implied probability of that outcome. The market’s efficiency depends on active participation and the availability of relevant information.
This market resolves around Sep 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Sao Paulo Open match between Jazmin Ortenzi and Paula Badosa, as reported by an authoritative source for tennis results. The platform will verify the outcome against these sources to determine which outcome corresponds to the actual result of the match. Traders holding shares in the winning outcome will be paid out according to the final share price.
Several factors could influence the price of this market before resolution. Any news regarding player form, injuries, or changes in playing conditions could significantly shift trader sentiment. Unexpected upsets in other matches leading up to the Badosa vs Ortenzi match could also impact perceptions of player momentum. Furthermore, major shifts in public opinion, reflected in betting markets or expert analysis, could drive trading activity and alter the implied probabilities. Even seemingly minor developments could trigger a response in this market, demonstrating the dynamic nature of predictive markets.