TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 9, 7:01 AM EST
Kalshi
Two professional tennis players compete in a Round of 32 match at the 2026 ATP Stuttgart tournament. The match will be decided by whichever player wins in straight sets or in a tiebreaker set.
On Kalshi, the Bautista Agut vs Giron exact match score is priced as a set of binary contracts, each representing one possible outcome (e.g., 2–0, 2–1, 1–2, 0–2). On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract trades between 0 and 100 cents, where the price reflects the implied probability traders assign to that specific result. You buy a contract if you believe that exact score will occur, or sell if you think it won't. Kalshi's order book shows real-time bids and asks, allowing you to execute at current market prices or place limit orders to wait for your target entry point.
The market resolves on Jun 8, 2026 following the completion of the match. The outcome is determined by the final set score of the Roberto Bautista Agut vs Marcos Giron match. Only the exact match score—such as 2–0, 2–1, 1–2, or 0–2 in a best-of-three-set format—will trigger resolution of the corresponding contract. Once the match concludes and the official result is confirmed, the winning outcome contract settles to 100 cents and all others to zero.
Several factors can shift trader positioning before Jun 8, 2026. Recent form and head-to-head records between Bautista Agut and Giron influence expectations of match competitiveness and likelihood of straight-set wins versus longer contests. Court surface, weather conditions, and tournament stage also matter—clay favors different styles than hard courts. Injury reports or late withdrawals would dramatically reprrice the market. As match day approaches, updated betting lines from sportsbooks and social media sentiment can trigger trader repositioning. Close matches typically see tighter pricing on three-set outcomes, while dominant favorites may see heavy trading on 2–0 contracts.