| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cloud9 New York | 31% | 28¢ | 31¢ | — | $15K | Trade → |
| Vancouver Surge | 69% | 69¢ | 71¢ | — | $5K | Trade → |
This market lets traders express views on which team will win the Cloud9 New York vs. Vancouver Surge match; it matters because market prices aggregate public information about the likely outcome and change as new match information arrives.
Cloud9 New York and Vancouver Surge are professional competitive teams meeting in a scheduled match; outcomes are shaped by roster choices, recent form, and the specific game or map format being played. Historical results and season context provide useful background, but short-term factors like last‑minute lineup changes or meta shifts can materially alter expectations.
Market odds reflect the collective assessment of traders given available information and will update as new facts (lineups, start time, injuries, etc.) become public; interpret them as a continuously updated summary of market sentiment rather than a fixed forecast.
The close time is listed as TBD; markets typically close at or shortly before the official match start announced by the organizer, so monitor the KALSHI event page and official team/tournament feeds for the confirmed start time.
This market offers two mutually exclusive outcomes tied to the official match result: a win credited to Cloud9 New York or a win credited to Vancouver Surge; the outcome is determined by the result reported by the event organizer.
Total volume indicates how much money has been traded so far and is a proxy for liquidity and trader interest; higher volume generally means easier entry and exit and that prices incorporate more information, while lower volume can make prices more sensitive to individual trades.
Key items are official starting lineups, any injury or eligibility notices, last-minute roster or coaching changes, the announced map pool or game format, recent head-to-head and form, and any schedule or travel disruptions that could affect performance.
Use head-to-head history as contextual information, emphasizing recent matches played with similar rosters and competitive conditions; discount older results or matches played under different metas or lineups, since those are less predictive of the current matchup.