| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Joao Vitor Scramin Do Lago | 4% | 3¢ | 4¢ | — | $38K | Trade → |
| Franco Roncadelli | 97% | 95¢ | 98¢ | — | $9K | Trade → |
This market lets traders express views on the head-to-head outcome of Roncadelli vs Scramin Do Lago, turning event information into tradable prices. It matters because market prices summarize aggregated expectations and can signal how new developments are being interpreted by others.
Roncadelli vs Scramin Do Lago is a binary sports matchup listed on KALSHI; the market aggregates opinions about which competitor will prevail. The market has attracted measurable interest and liquidity, and will react to pre-event news such as medical, weigh-in, and logistical updates.
Market prices reflect the collective information and sentiment of participants and update as new facts arrive; treat them as a real-time barometer rather than a guarantee, and consider volume and recent price movement when assessing confidence.
This market is binary and offers two mutually exclusive outcomes, typically one outcome for Roncadelli winning and the other for Scramin Do Lago winning; consult the market page for exact outcome labels.
The listed close time is TBD; platforms commonly close markets at or just before the official start of the contest, so check the market page for updates and any announced settlement schedule.
Settlement policies vary by exchange, but common outcomes are suspension until an official decision, voiding the market, or settlement based on the event organizer’s official ruling — review the event’s settlement rules on the platform for definitive guidance.
Late-breaking items such as reported injuries, weigh-in failures, changes to the official start time or venue, and authoritative confirmation of lineup or medical issues typically produce the fastest and largest price moves.
Use past results as one input but adjust for context — account for the level of opponents faced, recency, any change in weight class or rules, and whether conditions in prior meetings were comparable; avoid over-interpreting small samples or single anomalies.