TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 11:34 PM EST
Kalshi
A professional tennis match takes place in the 2026 W15 Los Angeles CA Round of 32 between two competitors. The match will be contested after play has begun.
On Kalshi, Fairclough vs Davoodi is priced through a continuous order-book mechanism where traders buy and sell outcome shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform displays bid-ask spreads that tighten or widen based on trading activity and liquidity. Prices reflect the collective assessment of which outcome is more likely, with each share worth up to one dollar at settlement. As new information emerges or trading volume increases, prices adjust in real time, allowing participants to enter or exit positions at market rates that evolve throughout the event window.
The Fairclough vs Davoodi market resolves on Jun 9, 2026. Resolution is determined by the official result of the matchup as confirmed by authoritative sports sources. Once the event concludes and the outcome is verified, the market settles and traders' positions are finalized based on which outcome occurred. The exact resolution criteria and data sources are specified in the market's terms, ensuring clarity on how winning and losing positions are determined when the market closes.
Market prices for Fairclough vs Davoodi can shift based on fighter or athlete news, training updates, injury reports, recent performance data, and expert commentary. Changes in public perception, media coverage, or betting patterns on other platforms may also influence trader sentiment. Closer to the event date, weigh-in results, official confirmations, or last-minute roster or condition changes often trigger sharp price movements. Monitoring sports news and social media discussion around both competitors will help you anticipate how the prediction market may reprice as new information emerges.