| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Lake Superior State | 0% | 4¢ | 84¢ | — | $0 | Trade → |
| St. Thomas | 0% | 4¢ | 84¢ | — | $0 | Trade → |
| Tie | 0% | 4¢ | 95¢ | — | $0 | Trade → |
This market asks which of three outcomes will occur in the Lake Superior State vs St. Thomas matchup; it matters because markets aggregate public information about form, injuries, and matchup details that influence game results.
Lake Superior State and St. Thomas are collegiate hockey programs with different institutional histories, recruiting footprints, and recent competitive trajectories. Conference alignments, coaching philosophies, and roster turnover all shape how the two teams match up, so past performance and program context provide useful background when evaluating the market.
Market prices are a real-time signal of collective expectations and respond to new information such as lineup announcements, injuries, and travel or scheduling developments. Use them as one input among scouting, box-score metrics, and situational factors rather than as definitive predictions.
The market is structured around three mutually exclusive resolutions tied to this specific game: one outcome corresponds to a Lake Superior State result, another to a St. Thomas result, and the third covers the remaining pre-defined resolution (for example a tie/overtime/shootout resolution if the market is defined that way). Consult the market rules on the event page for the exact labeling.
The close time is set by the market operator and displayed on the market page; typically markets lock shortly before puck drop to prevent trading on in-game information. Check the event page for the announced lock time once it is posted.
Announcements that materially change game expectations tend to move the market: starting goalie confirmation or an unexpected goalie change, injuries or scratches to top scorers or defenders, and any late travel or availability issues for either team.
Head-to-head data provides context about matchup tendencies but often has limited predictive power because rosters and coaching staffs change year to year; weigh head-to-head against current-season form, roster continuity, and situational factors.
Home-ice can affect travel logistics, fan influence, last-change matchups, and line deployment; its impact varies by team and season, so consider travel distance, each team’s home/road splits, and any recent scheduling quirks when incorporating home-ice into your view.