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%
Closed: Jul 28, 5:30 AM EST
Polymarket
This market refers to the tennis match between Marta Lombardini and Kajsa Rinaldo Persson in the ITF Women Cordenons, originally scheduled for July 21, 2026 at 5:30AM ET. This market will resolve to 'Marta Lombardini' if Marta Lombardini advances against Kajsa Rinaldo Persson. This market will resolve to 'Kajsa Rinaldo Persson' if Kajsa Rinaldo Persson advances against Marta Lombardini. 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 Marta Lombardini and Kajsa Rinaldo Persson in the ITF Women Cordenons, originally scheduled for July 21, 2026 at 5:30AM ET. This market will resolve to 'Marta Lombardini' if Marta Lombardini advances against Kajsa Rinaldo Persson. This market will resolve to 'Kajsa Rinaldo Persson' if Kajsa Rinaldo Persson advances against Marta Lombardini. 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 incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets are driven by trader consensus and real-money skin-in-the-game. For tennis matches, sportsbooks may adjust lines based on sharp action or public betting patterns, whereas this market aggregates the beliefs of many independent traders without a built-in house margin. Both can offer value, but prediction markets sometimes capture emerging information faster due to their continuous pricing mechanism.
On Polymarket, this market is priced through an automated market maker that converts trader orders into real-time probabilities. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares representing each outcome trade continuously, and the current price of a winning share reflects the crowd's estimated likelihood of that result. As new trades flow in, the price adjusts instantly, so the odds you see are always up-to-date. This mechanism encourages traders to act on information quickly, since early movers can capture better prices before the market reprices.
This market resolves around Jul 28, 2026, once the match is complete and the winner is verifiable from credible public reporting. The outcome is determined by the official result of the tennis match between the two players. Traders holding shares in the winning outcome receive their payout, while losing shares expire worthless. Resolution typically occurs within hours of the final point, ensuring timely settlement and allowing traders to move capital to the next opportunity.
Several factors can shift odds before the match begins or during play. Player injuries, recent form trends, and head-to-head records are key pre-match signals that traders monitor closely. Court surface preference, weather conditions on match day, and psychological momentum from recent tournaments can also influence pricing. During the match itself, set scores, break points, and serve performance feed real-time updates that cause sharp repricing. News about player fitness or unexpected lineup changes can trigger sudden moves, rewarding traders who act fastest on breaking information.