| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| RED Canids | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| LOUD | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which team will win the match between RED Canids and LOUD; it matters because it aggregates the market’s view of expected match outcome and can signal consensus expectations for fans and traders.
Both organizations are prominent in the Brazilian esports scene and have competed at regional and international levels with changing rosters and strategies. Their matchup is shaped by recent roster moves, coaching, and adaptation to the current game meta rather than a single historical pattern.
Market prices reflect the crowd’s assessment of which team is likelier to win and will move as new information arrives; use prices as a real-time summary of expectations, not as fixed truth.
The market close is listed as TBD; confirm the match start and market close on the event page, the tournament’s official schedule, or the organizers’ social channels. Markets typically close at or just before the official match start.
Settlement is based on the official result reported by the tournament organizer or primary scoreboard for the match. In cases of postponement, cancellation, or ambiguous results, KALSHI follows its event rules and the tournament’s official communications for resolution.
Rapid moves often reflect new information such as lineup announcements, map veto revelations, injury or travel news, or credible leaks from teams or broadcasters. Treat fast moves as signals to verify the underlying information before trading.
Late roster or coaching changes can materially affect performance—especially if they alter synergy, map roles, or leadership. The size of the impact depends on how integral the changed personnel were to recent tactics and results.
Look up official match histories, VODs, and reputable stats/tracker sites for past encounters, focusing on matches with the same rosters and similar map pools. Pay attention to map-specific win rates, recent series, and context (scrim vs. official match) rather than raw aggregate totals.