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: May 28, 4:12 PM EST
Kalshi
This market tracks the outcome of the second set in a professional tennis match between Victoria Mboko and Katerina Siniakova. On Kalshi, Victoria Mboko to win set 2 is at 64.5%, while Katerina Siniakova to win set 2 is at 31.0%. Resolution is determined by the official result from the 2026 French Open Women's Singles Round of 64 match. Watch for the actual set outcome during their scheduled match on May 28, 2026.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader consensus rather than fixed bookmaker pricing. Sportsbooks typically adjust odds more slowly and build in margin, while prediction markets update instantly as new information emerges. For the Mboko vs Siniakova Set 2 market, comparing Kalshi prices to major sportsbooks can reveal whether traders are pricing in factors—such as recent form, court conditions, or head-to-head history—that bookmakers may underweight. This comparison helps identify potential value or consensus shifts.
The market resolves on May 28, 2026 or shortly after the conclusion of Set 2 in the Victoria Mboko vs Katerina Siniakova match. Resolution is determined by the official result of the second set—whether Siniakova or Mboko wins it. The outcome is verified against authoritative tennis records and match data. Once Set 2 concludes and the winner is confirmed, the market settles automatically, and traders receive payouts based on their positions and the final price at which they traded.
Several factors could shift the market price before and during Set 2. Pre-match signals include recent tournament results, head-to-head records, court surface preference, and injury or fitness updates for either player. During the match, live performance—such as break-point conversion rates, first-serve percentage, and momentum after Set 1—will drive rapid repricing. Crowd energy, weather conditions, and tactical adjustments between sets also influence trader expectations. Early Set 2 scorelines (0–0 versus 2–0, for example) typically trigger the largest price movements as traders update their win probability estimates based on real-time play.