| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Daniel Merida | 35% | 0¢ | 1¢ | — | $311 | Trade → |
| Patrick Kypson | 0% | 99¢ | 100¢ | — | $0 | Trade → |
This market forecasts which player will win the first set of the match between Patrick Kypson and Daniel Merida. First-set markets matter for traders who want exposure to early-match dynamics without betting on the full-match outcome.
Patrick Kypson and Daniel Merida are professional tennis players who compete on the international circuit; Kypson is known for competing primarily in ATP Challenger and ITF events, while Merida competes across similar levels. The matchup for a single set emphasizes short-term factors such as serve effectiveness, early-match nerves, and immediate tactical adjustments rather than long-match endurance.
Market odds are a real-time aggregation of what participants expect for the first-set winner and will move as match information (injuries, lineups, live scoring) becomes available. Treat current odds as the market’s consensus at a moment in time, not a certainty.
The market close time is listed as TBD; many platforms close a short time before or at first serve. Check the KALSHI market page for the definitive close time and any updates.
'Set 1 Winner' resolves to whichever player wins the completed first set. Tiebreaks that decide the first set are included; if the first set is not completed (match abandoned or suspended), the market will resolve according to KALSHI’s event rules—consult the platform’s resolution policy.
If a retirement occurs before the first set is completed, resolution depends on the platform’s stated rules; if the retirement happens after a player has already won the first set, that result is already determined. Check KALSHI’s official terms for specifics on retirements and voided markets.
Key pre-match items include official starting lineups, warm-up performance, recent match results on the same surface, late injury reports, and any weather or court-condition notices that could affect serve and footing.
Head-to-head data can be informative if there are multiple recent meetings or clear stylistic patterns, but for a single set it’s often less predictive than short-term indicators like serve form, recent match fitness, and how each player typically starts matches.