TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 13, 9:36 AM EST
Polymarket
This market refers to the tennis match between Ivan Sabanov and Nik Mikovic in the M15 Bol, Qualifying, originally scheduled for October 13, 2026 at 5:00AM ET. This market will resolve to 'Ivan Sabanov' if Ivan Sabanov advances against Nik Mikovic. This market will resolve to 'Nik Mikovic' if Nik Mikovic advances against Ivan Sabanov. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 27, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Ivan Sabanov and Nik Mikovic in the M15 Bol, Qualifying, originally scheduled for October 13, 2026 at 5:00AM ET. This market will resolve to 'Ivan Sabanov' if Ivan Sabanov advances against Nik Mikovic. This market will resolve to 'Nik Mikovic' if Nik Mikovic advances against Ivan Sabanov. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 27, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Comparing prediction market odds to sportsbook odds reveals how the wisdom of the crowd differs from professional oddsmakers. Sportsbooks set initial lines based on statistical models and expert analysis, while this market reflects the collective beliefs of many individual traders. Often, prediction markets can be more accurate than traditional sportsbooks, especially as the event approaches and more information becomes available. Discrepancies can arise due to differing information access, biases, or simply the larger sample size contributing to the prediction market's price.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different outcomes. The price of each share reflects the market’s implied probability of that outcome occurring. As more traders participate, the price adjusts to reflect the collective assessment of the event’s likelihood. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is determined solely by supply and demand within Polymarket, and is not influenced by external factors or other prediction markets.
This market resolves around Oct 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Sabanov vs Mikovic match, as reported by the governing tennis organization. The platform will verify the result against publicly available data to determine the winning outcome. Traders holding shares in the correct outcome will be paid out according to the final market price at resolution.
Several signals or events could significantly move this market before resolution. Any news regarding player injuries, changes in playing conditions, or updates on their recent performance could impact the perceived likelihood of each player winning. Unexpected upsets in other matches involving these players, or even significant shifts in public sentiment, could also influence trading activity. Major endorsements or public statements from tennis analysts could also contribute to price movements in this market.