TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 9, 11:52 AM EST
Kalshi
A professional tennis match takes place in the 2026 ATP Stuttgart Round of 32 between two competitors, with focus on the outcome of the first set.
On Kalshi, the Daniel Altmaier vs Frances Tiafoe set winner is priced as a binary contract reflecting the probability each player wins the first set. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from $0 to $1, where a higher price indicates stronger market confidence in that outcome. Traders buy contracts at current ask prices or sell at bid prices, with the spread between them representing liquidity and uncertainty. As match time approaches and live play begins, prices adjust dynamically based on serve performance, break opportunities, and momentum shifts during the set.
The market resolves on Jun 8, 2026 or shortly after the first set concludes, whichever occurs first. Resolution is determined by the official result of set one in the Daniel Altmaier vs Frances Tiafoe match. The player who wins the majority of games in the first set, according to the match scorecard, determines the winning outcome. Once the set is officially recorded, the market settles and contracts pay out accordingly.
Key catalysts include recent form and head-to-head records, court surface and weather conditions on match day, serve statistics and break-point conversion rates during live play, and any last-minute injury or fitness announcements. Early set momentum—such as an early break or a string of service holds—typically triggers sharp repricing. Player confidence, crowd energy, and tactical adjustments mid-set also influence trader positioning. News of surface changes, court speed, or player illness hours before the match can cause significant price swings as the market recalibrates expectations.