TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 7:56 AM EST
Kalshi
This market tracks the exact set score at which Andrey Rublev will defeat Nuno Borges in their 2026 French Open Men's Singles Round of 32 matchup. On Kalshi, a 3-0 victory for Rublev is priced at 35.0%, while a 3-1 win carries 25.0% probability. Resolution will be determined by the official result of their professional tennis match. Watch for the match outcome on May 29, 2026, when this Round of 32 contest is scheduled to take place at Roland Garros.
Prediction market odds on Kalshi reflect aggregated trader beliefs about the exact match score, while traditional sportsbooks typically offer limited set-score betting options with fixed odds set by oddsmakers. Prediction markets allow continuous price discovery and real-time adjustment based on participant trading, whereas sportsbooks rely on static lines. Sportsbook odds often embed larger margins, while prediction markets may offer tighter spreads if liquidity is sufficient. Comparing the two reveals whether professional traders or retail sportsbook bettors hold stronger conviction about specific set outcomes.
The market resolves on May 29, 2026 following the completion of the Nuno Borges versus Andrey Rublev match. Resolution is determined by the final set score recorded in official match records. The exact outcome—whether the match ends 3-0, 3-1, 3-2, or any other possible set combination—determines which contract settles to 100 cents and which settle to zero. Resolution occurs after the match concludes and the official result is confirmed by the tournament or governing body.
Key signals include recent match results and form trends for both players, injury reports or fitness updates, head-to-head historical performance on similar surfaces, court conditions and weather forecasts on match day, and betting patterns from professional or informed traders. Player rankings, recent tournament performance, and psychological factors such as momentum or confidence shifts can also influence market prices. News about coaching changes, equipment adjustments, or unexpected absences would trigger sharp repricing. As the match approaches, real-time observations during warm-up or early sets may cause significant probability swings.