| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Sashi Esport | 38% | 37¢ | 50¢ | — | $107 | Trade → |
| Team Nemesis | 63% | 50¢ | 63¢ | — | $6 | Trade → |
This market asks which side will win the upcoming match between Team Nemesis and Sashi Esport; it matters because it aggregates trader expectations and can highlight information that the broader public may not yet price in.
Team Nemesis and Sashi Esport are opposing competitors in an esports matchup where roster choices, recent results, and game-patch context typically drive outcomes. Because the market close time is listed as TBD, bettors should watch official match scheduling, lineup announcements, and any last‑minute roster or technical updates that could change expected performance.
Market prices reflect the collective view of participants based on available information and adjust as new facts arrive; they are signals of market sentiment rather than guarantees of a result. Low trading volume or sudden trades can move prices more than they would in a deep market, so interpret changes alongside underlying news.
The listed close time is TBD; typically the market will close at or shortly before the official match start or when the exchange posts a definitive closing time, so monitor the event page for updates.
This market offers two mutually exclusive outcomes corresponding to which team wins: Team Nemesis or Sashi Esport; the market resolves to the team confirmed as the match winner by the exchange's official source.
Low volume means liquidity is limited: individual trades can move market prices substantially, and prices may reflect the views of a small number of participants rather than a broad consensus, so expect higher volatility and wider spreads.
Look for confirmed starters, any announced stand-ins, role swaps, suspensions, or recent practice/bootcamp reports; these details often have an outsized impact on short-term expectations for a single match.
Head-to-head results are informative but must be weighed against changes since those matches—such as roster swaps, patch updates, or shifts in meta—so use historical records as one input among several rather than a sole determinant.