| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Phantom | 0% | 30¢ | 93¢ | — | $0 | Trade → |
| Oxuji Esports | 0% | 4¢ | 72¢ | — | $0 | Trade → |
This market asks which team will win Map 1 of the European Pro League Series 5 2026 match between Oxuji Esports and Phantom. Map 1 outcomes matter because they set early momentum in a best-of series and can influence series strategy and standings in the league.
The event is part of the European Pro League Series 5 (2026), a regional league stage where teams compete for playoff positioning and prize money. Oxuji Esports and Phantom each bring distinct map pools, recent form, and roster histories; prior meetings, recent roster moves, and the current game patch all shape expectations for this matchup.
Market odds reflect aggregated expectations from traders and update as new information (lineups, delays, performance data) arrives. Use the market as a real-time gauge of changing information rather than a fixed prediction.
The market resolves to the official match result reported by the European Pro League for Map 1 of the match. The team listed as the winner on the league's official scoreboard for that specific map determines the market outcome.
Closing time is set by the exchange but is typically tied to the confirmed start of Map 1 or an announced match start time; check the exchange and the league schedule for the precise close announcement for this event.
If Map 1 is postponed or rescheduled, the exchange may keep the market open until the map is played or void the market if the map is not played per its resolution rules. If the league awards a forfeit victory, the official forfeit result will usually be used to resolve the market.
Watch official lineup confirmations, last-minute roster substitutions, coach or staff changes, travel or visa issues, and any injury or illness reports—each can materially affect Map 1 performance and be reflected in market movement.
Head-to-head history on the exact map provides useful context, but consider sample size and recency: older matches, different rosters, or meta shifts reduce relevance. Use recent map-specific meetings and supporting performance metrics for more reliable inference.