| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Kansas | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Troy | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the Troy at Kansas game and matters to fans and traders because it captures expectations for a mid-major (Troy) visiting a Power Five program (Kansas) in a single-game outcome. The result affects season records, bowl/tournament implications, and short-term market movement.
Kansas and Troy come from different conference profiles: Kansas is a Power Five program with larger resources and typically strong home support, while Troy is a mid‑major program that frequently schedules road tests against higher‑profile opponents. The two programs do not have a long head‑to‑head history, so matchup specifics (coaches, starting lineups, and recent form) often matter more than the historical record.
Prediction market prices reflect the collective view of traders about who will win this particular game and will move as new, event‑specific information arrives (injuries, starters, weather, official announcements). Treat prices as real‑time signals of market sentiment rather than fixed forecasts; they update up to market close and resolution.
The market resolves based on the official, final outcome of the listed game as reported by the relevant league; that includes the official final score after any overtime periods and any league‑issued updates.
Yes — the official winner after regulation and any overtime periods is used to determine the market outcome, unless the market page specifies a different settlement rule.
If the game is postponed, suspended, or canceled, settlement follows the platform’s stated policies for this market; often that means waiting for an official reschedule or voiding/settling the market per the market’s rules, so check the event page for specific resolution conditions.
Late injury reports, official starting lineup announcements, weather advisories (for outdoor games), travel or availability news, and major coaching decisions or suspensions are the primary drivers of price movement for this matchup.
Head‑to‑head history can be informative but is often limited for this pairing; prioritize recent performance, matchup fit, and venue factors over distant historical results because sample sizes are typically small.