| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Admiral Vladivostok | 31% | 30¢ | 34¢ | — | $151 | Trade → |
| Salavat Yulaev UFA | 0% | 63¢ | 74¢ | — | $0 | Trade → |
This prediction market covers the outcome of the ice hockey game between Salavat Yulaev UFA and Admiral Vladivostok; it matters because it aggregates participant expectations about which team will prevail and reacts to real-time information such as lineups and injuries.
Both clubs play in the Kontinental Hockey League (KHL), with different geographic and travel profiles that often shape matchup dynamics. Salavat Yulaev typically benefits from playing closer to home and from deeper local fan support, while Admiral operates out of the Russian Far East, which can create long travel legs for away games; recent roster moves, goaltending form, and special-teams performance are common season-to-season determinants of results.
Market prices on this event reflect the collective view of participants and will shift as new information (lineups, injuries, goaltender confirmations, travel updates) becomes available; use these prices as one input alongside sports-specific analysis rather than as a definitive prediction.
This specific market currently shows a closing time of TBD; check the KALSHI market page for final close details—markets like this typically close either at puck drop or according to the platform's stated in-play rules.
This market lists two mutually exclusive outcomes; consult the market description on KALSHI to see whether those outcomes represent regulation-time winners, winners including overtime/shootout, or another specific contract definition.
Key factors include the starting goaltenders for both teams, top-line scorers and their availability, power-play and penalty-kill unit personnel, and any late scratches or injury returns announced before the game.
Long-distance travel and multiple time-zone changes can increase fatigue and reduce preparation time, which often shows up in third-period performance and special-teams execution; the precise impact depends on days of rest and whether the opponent is well-rested.
Treat head-to-head history as context rather than determinative: recent form, roster changes, injuries, and goaltender status are usually more predictive in the short term. Use head-to-head trends to spot matchup patterns, but prioritize up-to-date team-level and player-level information when evaluating the market.