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: Sep 1, 5:14 PM EST
Kalshi
This market focuses on predicting which player will win the second set of a specific tennis match at the 2026 US Open. It allows participants to speculate on the competitive performance of the two athletes during that particular segment of play. The outcome depends solely on the match's progression and final set results.
If Camilo Ugo Carabelli wins set 2 in the Camilo Ugo Carabelli vs Jan-Lennard Struff professional tennis match in the 2026 US Open Men Singles Round Of 128, then the market resolves to Yes. If Jan-Lennard Struff wins set 2 in the Camilo Ugo Carabelli vs Jan-Lennard Struff professional tennis match in the 2026 US Open Men Singles Round Of 128, then the market resolves to Yes.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the price through buying and selling contracts that represent the possible outcomes. The current probability reflects the balance of buy and sell orders, with market depth and recent trading activity influencing how the odds shift. This decentralized pricing mechanism allows rapid adjustments based on new information or changing expectations among participants.
This market resolves around Aug 30, 2026, with the outcome confirmed once the match result is verifiable from credible public reporting. The winner of set two will be determined by the official match records, and the market will close accordingly, reflecting the final on-court result without additional interpretation or external calculation.
Key signals that could move this market include player injuries, recent form or performance trends, weather conditions on match day, and any strategic changes announced by coaches or teams. Significant betting volume spikes or large order placements on Kalshi may also indicate shifting sentiment, while pre-match media coverage highlighting strengths or weaknesses can influence trader expectations.