| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Bradley | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Western Illinois | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which team will win the Bradley vs Western Illinois game; it matters to traders tracking expected game outcomes and market sentiment for this specific matchup.
Bradley and Western Illinois are NCAA Division I programs meeting for a single-game outcome; the matchup's significance depends on season timing (non‑conference or conference play), roster availability, and team objectives. Historical meetings, coaching matchups, and recent form provide context but the market will react primarily to current information like injuries and lineup changes.
In this context, market odds aggregate participants' views and new information about the matchup (injuries, lineups, travel) into a single price for each team; they are a reflection of market sentiment, not a guarantee of the result.
The market close is listed as TBD; typically a game market closes at the official scheduled tip‑off time or when the platform announces closure—check the KALSHI market page for the final close time.
The two outcomes are which team wins the game: Bradley wins or Western Illinois wins. Settlement will follow the official game result and any tie/overtime handling specified in the market rules.
A late ruled‑out starter is material information that typically changes expected performance; traders should confirm the official report, consider the expected replacement and matchup impacts, and monitor how the market incorporates the news.
Resolution follows KALSHI's market rules: common outcomes include voiding the market with refunds if no official result occurs within a defined window, or waiting to settle after a rescheduled game if the rules allow—consult the platform's settlement policy for specifics.
Head‑to‑head history provides context but is usually less predictive than current factors like roster changes, recent form, and matchup-specific statistics; prioritize up‑to‑date information over distant historical results.