| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 1WIN | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nemiga | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the Nemiga vs. 1WIN matchup; it matters to traders who want to express views on which side will prevail and to fans tracking market sentiment around the match.
Nemiga and 1WIN are competing organizations in the same esport discipline, each with its own recent competitive history, coaching staff, and roster dynamics. Matches between teams like these can be influenced by tournament context, map pools, and any recent roster or strategy changes.
Prediction market prices reflect the collective view of participants about the match outcome and update as new information arrives; use prices as a live signal of market consensus while remembering they can move rapidly around announcements or in-play developments.
This market offers two mutually exclusive outcomes corresponding to which team wins the match as defined by the official event rules; the winning outcome is the team that is declared the match victor by the tournament organizer.
Settlement follows the tournament's official result after completion of any overtime or decider rules; the market resolves to the officially recorded winner once the organizer confirms the match outcome.
Settlement in cases of postponement or cancellation depends on the exchange’s event rules and the tournament’s handling; common outcomes include postponing market closure until a new scheduled time or voiding and refunding positions if the match is canceled.
Official roster announcements can materially change expectations—assess the experience and roles of incoming players, the timing of the change relative to the match, and any strategic implications; markets typically react quickly to verified roster news.
Low volume can occur if the match has limited visibility, is off-peak, or the market is newly opened; low liquidity can make it harder to enter or exit large positions and can lead to more volatile price moves on new information, so consider order size and execution risk.