TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 15, 8:20 AM EST
Kalshi
This market predicts the overall winner of the professional tennis match between Katerina Siniakova and Yue Yuan at the 2026 Berlin Qualification Round 1 on June 13. The match winner is determined by standard tennis match rules once play has begun.
The market resolves to Yes for whichever player wins the match, contingent on at least one ball being played. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open until the rescheduled match concludes within two weeks.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders risking real capital. This market may show higher or lower implied probabilities than traditional sportsbooks, depending on whether informed traders see value the books have missed. Comparing the two can reveal where consensus differs and highlight potential opportunities.
On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks, and the spread between them reflects real-time supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see is the last executed trade, and it updates instantly as new orders are filled. Wider spreads typically indicate lower liquidity or higher uncertainty, while tight spreads suggest strong consensus and active trading.
This market resolves around Jun 15, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by which player wins the match according to official tournament records or verified sports data sources. Until that point, prices will fluctuate based on pre-match analysis, player form, odds shifts, and trader positioning.
Key catalysts include recent performance by both players, head-to-head records, court surface preferences, injury reports, and ranking changes. Tournament seeding and draw positioning can also shift sentiment. Closer to the match date, warm-up tournament results, weather forecasts, and betting-market moves at major sportsbooks often trigger repricing. Real-time match commentary and live odds from other venues may influence trader behavior as the event approaches.