| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| La Salle | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Davidson | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market is a head-to-head matchup between Davidson and La Salle and lets traders express views on which program will win the scheduled game. It matters because outcomes aggregate information about injuries, matchups, and pregame expectations for these two college teams.
Davidson College and La Salle University field NCAA athletic programs and regularly meet as conference opponents in the Atlantic 10 in sports such as men’s basketball. Both programs have distinct styles and recent seasons, and roster turnover from year to year means each meeting can differ substantially from past contests.
Market prices reflect traders’ collective expectations about which team will win; they move as new information arrives (injuries, starting lineups, weather/travel issues) and should be read together with official game timing and event rules. Low volume or $0 traded volume can indicate thin liquidity and greater sensitivity to single trades or news.
The event page currently lists the close as TBD; KALSHI will post a trading deadline tied to the official game start or a specified cutoff — monitor the market page for the announced close.
The market’s two outcomes correspond to which team wins the game: one outcome for a Davidson victory and the other for a La Salle victory. Settlement uses the official final result reported by the game’s governing body.
Settlement follows KALSHI’s resolution policy: if the game is postponed or canceled before an official result is produced, the market may be voided or settled according to platform rules. Check KALSHI’s event resolution terms for specifics.
Key developments include injury reports and confirmed starters, announced rotations and minutes, late coaching changes, travel disruptions, and any matchup-relevant scouting (e.g., how each team defends pick-and-roll or handles pace).
Head-to-head history provides context about styles and past outcomes, but its value depends on recency; prioritize current-season performance, roster continuity, and recent games over decades-old results.