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: Jul 14, 12:00 PM EST
Polymarket
This market refers to the tennis match between Sofia Johnson and Haruka Kaji in the ITF Women Columbus, originally scheduled for July 7, 2026 at 12:00PM ET. This market will resolve to 'Sofia Johnson' if Sofia Johnson advances against Haruka Kaji. This market will resolve to 'Haruka Kaji' if Haruka Kaji advances against Sofia Johnson. 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 Sofia Johnson and Haruka Kaji in the ITF Women Columbus, originally scheduled for July 7, 2026 at 12:00PM ET. This market will resolve to 'Sofia Johnson' if Sofia Johnson advances against Haruka Kaji. This market will resolve to 'Haruka Kaji' if Haruka Kaji advances against Sofia Johnson. 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 pricing models and participant bases. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets like Polymarket price outcomes through continuous trading by many participants with varied information and incentives. This market may show different implied probabilities than traditional sportsbooks, especially as new information emerges or as the event approaches. Comparing the two can reveal where one venue sees more value than the other.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on one player winning, and the current price reflects the collective assessment of all active traders. As new information surfaces or trading volume shifts, prices adjust in real time. The spread between bid and ask prices narrows or widens based on liquidity and market confidence, allowing you to enter or exit positions at transparent, market-determined rates.
This market resolves around Jul 14, 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, with the winning trader receiving their payout. Until that point, prices will continue to fluctuate as traders update their positions based on player form, injury reports, court conditions, and other factors that may influence the match.
Several factors could shift prices significantly before Jul 14, 2026. Injury announcements or fitness updates for either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific performance data often drive trading activity. Court conditions, weather forecasts, and draw positioning in the broader ITF Columbus event can also influence trader sentiment. Media coverage, betting syndicates entering the market, and shifts in overall tennis sentiment may cause rapid price swings as new information becomes public.