| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Game Hunters | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Fake do Biru | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win Map 2 of the CCT South America Series #10 match between Fake do Biru and Game Hunters. Map-level outcomes matter because they decide the match scoreline and reflect team strengths on specific maps.
CCT South America Series #10 is a regional esports circuit stage featuring South American professional squads; matches are played as multi-map series with a veto/pick process that determines each map. Fake do Biru and Game Hunters are participants in this circuit with histories of map-specific strengths and weaknesses, so Map 2 can behave differently than the overall match depending on which map was chosen and momentum from Map 1.
Prediction market odds are a real-time summary of collective expectations about who will win Map 2; treat them as a snapshot that updates as new information arrives (lineup changes, map picks, official updates) rather than a guarantee of outcome.
Map 2 refers to the second map of the best-of series between these two teams as determined by the match's veto/pick process; the market resolves based on the official winner of that individual map as reported by event organizers and the platform.
Closing time is set by the market operator and may occur before the match or before the map starts; settlement generally follows the official match report from CCT organizers and is processed by the platform after the result is confirmed.
Resolution follows the platform's published rules combined with the tournament organizer's official ruling: markets may be suspended, voided, or settled according to the final official result for Map 2; check the market's specific terms and any organizer statements for this match.
Last-minute substitutions can change team chemistry and role assignments, altering strengths on specific maps; markets often react quickly to such news, so weigh the nature of the change (temporary stand-in vs. permanent swap) and any prior performance data for replacement players.
Relevant trends include past head-to-head results on the exact map, each team's win/loss patterns on that map in recent events, side-specific performance, and how frequently either team bans or prioritizes that map in vetoes; prioritize recent samples and match-context similarities (same patch/meta, roster).