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: Jun 18, 2:00 PM EST
Polymarket
This market refers to the tennis match between Dan Added and Samuel De Felipe Garcia in the ITF Men Martos, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Dan Added' if Dan Added advances against Samuel De Felipe Garcia. This market will resolve to 'Samuel De Felipe Garcia' if Samuel De Felipe Garcia advances against Dan Added. 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 Dan Added and Samuel De Felipe Garcia in the ITF Men Martos, originally scheduled for June 11, 2026 at 2:00PM ET. This market will resolve to 'Dan Added' if Dan Added advances against Samuel De Felipe Garcia. This market will resolve to 'Samuel De Felipe Garcia' if Samuel De Felipe Garcia advances against Dan Added. 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 participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by traders seeking to profit from accurate forecasts. Prediction markets can sometimes offer sharper, more efficient pricing because participants have real money at stake and no house edge to overcome. However, sportsbooks may move faster on breaking news. Comparing this market's odds to major sportsbooks can reveal whether traders are pricing the match differently than professional oddsmakers.
On Polymarket, this market is priced through an automated market maker that converts trader activity into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Buyers and sellers trade shares representing each possible outcome, and the price of each share reflects the collective belief in that outcome's likelihood. As more traders buy shares for one player, that outcome's price rises and the opposing outcome's price falls. The market price at any moment represents the consensus probability among active traders, updated continuously throughout the trading day.
This market resolves around Jun 18, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the official match result—which player wins the ITF Martos event. Resolution typically occurs shortly after the match ends, pending final confirmation from the tournament organizers or recognized tennis data providers. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless.
Several factors could shift odds before the match concludes. Recent tournament performance, head-to-head records, and player rankings influence trader sentiment. Injury announcements or withdrawal news would trigger sharp repricing. Court surface conditions, weather forecasts, and player form leading up to the event matter significantly in tennis. Betting action on external sportsbooks can also signal shifting expectations. Social media commentary, expert analysis, and any last-minute lineup changes may prompt traders to adjust positions. Real-time match updates during play—early set results, momentum shifts—typically drive the most dramatic price swings.