| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dane Sweeny | 99% | 21¢ | 100¢ | — | $200 | Trade → |
| Andrew Johnson | 0% | 0¢ | 100¢ | — | $0 | Trade → |
This market predicts which player will win the first set in the tennis match between Andrew Johnson and Dane Sweeny. First-set outcomes matter because they influence match momentum and immediate in-play betting and trading.
This is a single-set market tied to a specific match in an ongoing tennis event; it resolves based on the official result of the first set as recorded by the tournament. Past meetings between the two players, current match scheduling, and surface type can all shape expectations for the opening set. Because in-play dynamics and short-term form matter heavily for one-set outcomes, the market can move quickly once the match starts.
Prediction market odds reflect the collective expectations of traders and adjust as new information (injuries, lineup changes, weather, live scoring) becomes available; they are not guarantees but a snapshot of market sentiment at a given time.
The market settles when the tournament publishes the official outcome of the first set; settlement timing depends on when the first set is completed and when the exchange processes official results.
The winner of set 1 is the player who wins the set, including via a tiebreak; the market will settle to whichever player is recorded as having won the first set by the official source.
If the match does not start or the first set is not completed, most exchanges regularly void or refund that market, but final resolution follows the platform’s official rules—check KALSHI’s event rules for exact procedures.
If a player retires during the first set, the opponent is typically recorded as the winner of that set; if play is suspended before a decisive result, settlement depends on the platform’s stated policies and the tournament’s official result.
Early break opportunities, serve hold percentage in the opening games, visible physical issues, and live scoring updates (e.g., a 3–0 lead vs. a 3–3 tie) are the most likely to cause rapid market movement.