TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 21, 8:00 AM EST
Polymarket
This market refers to the tennis match between Angela Fita Boluda and Jule Niemeier in the ITF Women Olomouc, originally scheduled for July 14, 2026 at 8:00AM ET. This market will resolve to 'Angela Fita Boluda' if Angela Fita Boluda advances against Jule Niemeier. This market will resolve to 'Jule Niemeier' if Jule Niemeier advances against Angela Fita Boluda. 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 Angela Fita Boluda and Jule Niemeier in the ITF Women Olomouc, originally scheduled for July 14, 2026 at 8:00AM ET. This market will resolve to 'Angela Fita Boluda' if Angela Fita Boluda advances against Jule Niemeier. This market will resolve to 'Jule Niemeier' if Jule Niemeier advances against Angela Fita Boluda. 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 markets and traditional sportsbooks price events differently. Sportsbooks apply margins and set odds based on their risk management; prediction markets aggregate trader belief through continuous price discovery. On Polymarket, odds reflect real-time consensus among participants rather than a bookmaker's fixed line. This can lead to sharper or more responsive pricing, especially for niche events like ITF tennis matches where sportsbook coverage may be limited. Comparing this market's odds to major sportsbooks can reveal where the crowd sees edge or where consensus diverges.
On Polymarket, this market is priced through an automated market maker (AMM) mechanism where traders buy and sell shares that represent yes or no outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome adjusts continuously based on order flow and liquidity depth. As traders buy shares backing one player, the price of that outcome rises and the opposing outcome falls. This dynamic pricing model ensures the market remains active and responsive to new information right up until resolution, allowing participants to enter or exit positions at transparent, real-time rates.
This market resolves around Jul 21, 2026, once the ITF Olomouc match concludes and the result is verified against credible public sources. The outcome is determined by the official match result—which player wins the contest. No ambiguity exists in tennis match outcomes; the winner is objectively confirmed through the tournament's official records and major sports data providers. Once the event is complete and verified, the market settles automatically, paying out to holders of the correct outcome.
Several factors can shift odds before the match begins. Recent form and head-to-head records between the two players often drive early trading. Injury announcements or withdrawal news would trigger sharp repricing. Court surface conditions, weather forecasts, and draw positioning can influence trader positioning. Betting syndicates or professional traders entering the market with large orders may also move prices. Closer to match time, pre-match commentary, warm-up results, or lineup confirmations typically generate final adjustments. Real-time match flow—early breaks, momentum shifts, or tactical changes—can also influence live trading if the market remains active during play.