TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 7, 9:52 AM EST
Kalshi
This event concerns a professional tennis match between Storm Hunter and Aliaksandra Sasnovich in the qualifying round of the 2026 WTA London tournament. The market is based on the outcome of the second set of this match, regardless of which player wins it.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Storm Hunter vs Aliaksandra Sasnovich: Set 2 Winner contract is priced as a binary outcome—either Storm Hunter wins the set or Sasnovich wins the set. The price reflects the probability traders assign to each outcome, ranging from 0 to 100 cents per share. As new information surfaces—such as player form, court conditions, or injury updates—traders buy and sell shares, moving the price up or down. The final price before Jun 7, 2026 represents the market's aggregate confidence in each player's likelihood of winning Set 2.
The Storm Hunter vs Aliaksandra Sasnovich: Set 2 market resolves on Jun 7, 2026, after the second set concludes. The outcome is determined by which player wins the set according to official match records. Once the set is complete and verified, the market settles to either Storm Hunter or Sasnovich, and traders' positions are finalized based on the actual result. Early resolution may occur if the match is abandoned or if the set is not played.
Several factors could shift odds for the Storm Hunter vs Aliaksandra Sasnovich: Set 2 Winner before Jun 7, 2026. First-set results will heavily influence Set 2 expectations—momentum, confidence, and fatigue all carry over. Player injury reports or physical condition updates can dramatically alter probabilities. Court conditions, weather, and surface type affect each player's strengths differently. Recent head-to-head performance and set-by-set statistics may emerge as traders refine their models. News about player form, recent tournament results, or coaching changes can also trigger repricing. Real-time match commentary and live performance during Set 1 will be the strongest catalyst for movement.