TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
ITF San Gregorio: Angelica Raggi vs Natalija Senic Total Sets: O/U 2.5
- Polymarket
ITF San Gregorio: Angelica Raggi vs Natalija Senic Total Sets: O/U 2.5 - Polymarket
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Vol.
·
Resolved Jun 17, 2026
Closed: Jun 24, 4:00 AM EST
Polymarket
This market refers to the tennis match between Angelica Raggi and Natalija Senic in the ITF Women San Gregorio, originally scheduled for June 17, 2026 at 4:00AM ET. This market will resolve to 'Angelica Raggi' if Angelica Raggi advances against Natalija Senic. This market will resolve to 'Natalija Senic' if Natalija Senic advances against Angelica Raggi. 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 Angelica Raggi and Natalija Senic in the ITF Women San Gregorio, originally scheduled for June 17, 2026 at 4:00AM ET. This market will resolve to 'Angelica Raggi' if Angelica Raggi advances against Natalija Senic. This market will resolve to 'Natalija Senic' if Natalija Senic advances against Angelica Raggi. 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 market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets like this one are priced by traders competing to forecast the true outcome. Prediction markets tend to be more efficient at incorporating new information quickly, since traders profit directly from accurate predictions. However, sportsbook odds may include sharper professional input and tighter liquidity spreads. Comparing the two can reveal valuable insights about where the smart money leans on this match.
On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the aggregate belief of all participants: higher prices mean traders view that outcome as more likely. As new evidence emerges—player updates, court conditions, or betting patterns—traders adjust their positions, and prices shift accordingly. This continuous repricing mechanism ensures the market stays responsive to real-world developments leading up to the match.
This market resolves around Jun 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning prediction will be determined by the actual result of the match between the two players. Once the match concludes and the result is official, this market will settle accordingly, and traders holding the correct outcome will receive their payout.
Several catalysts could shift odds before the match takes place. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, ranking changes, or head-to-head performance updates may also influence trader sentiment. Court surface conditions, weather forecasts, or scheduling delays could affect perceived advantage. Media coverage highlighting one player's form or psychological momentum may sway the market. Additionally, betting activity from professional syndicates or sudden volume spikes can signal new information, prompting rapid adjustments in this market's price.