| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Illinois wins by over 18.5 Points | 50% | 50¢ | 51¢ | — | $8K | Trade → |
| Illinois wins by over 12.5 Points | 67% | 67¢ | 73¢ | — | $1K | Trade → |
| Illinois wins by over 21.5 Points | 40% | 38¢ | 40¢ | — | $955 | Trade → |
| Illinois wins by over 15.5 Points | 60% | 57¢ | 60¢ | — | $733 | Trade → |
| Illinois wins by over 24.5 Points | 34% | 27¢ | 32¢ | — | $497 | Trade → |
| Illinois wins by over 9.5 Points | 82% | 75¢ | 82¢ | — | $218 | Trade → |
| Illinois wins by over 6.5 Points | 91% | 84¢ | 90¢ | — | $215 | Trade → |
| Illinois wins by over 27.5 Points | 25% | 19¢ | 25¢ | — | $197 | Trade → |
| Illinois wins by over 3.5 Points | 88% | 88¢ | 96¢ | — | $8 | Trade → |
| Illinois wins by over 33.5 Points | 13% | 6¢ | 13¢ | — | $5 | Trade → |
| Illinois wins by over 30.5 Points | 0% | 12¢ | 19¢ | — | $0 | Trade → |
This market lets traders express expectations about the point-spread outcome for the Oregon at Illinois matchup by buying outcomes tied to specific spread ranges. It matters because market prices aggregate information from many participants and can move as game-relevant news arrives; this market currently lists 11 outcomes and has attracted $12,446 in traded volume.
Oregon and Illinois are major-college programs with contrasting histories and styles: Oregon is often associated with fast-paced offensive schemes while Illinois competes in the Big Ten, where physical play and conference scheduling shape team profiles. Matchups between non-conference opponents (or interconference games) can highlight differences in tempo, recruiting profiles, and travel impacts; coaching strategies and roster turnover mean that historical results need context when applied to a new meeting.
Market prices in a spread market reflect the collective judgment of participants about how many points one team will win or lose by; changes in those prices are driven by new information like injuries, starting lineups, weather, or heavy trading. Use the market as a real-time signal that updates as relevant facts become public, rather than a fixed prediction.
The market close time is TBD on the event page; typically spread markets close shortly before game kickoff or when trading is suspended for material news, so check the KALSHI market page for the final close time.
Each outcome corresponds to a specific spread interval or line outcome defined on the market page (for example, ranges of margins); consult the market’s outcome descriptions on KALSHI to see the exact spread brackets.
Significant starter absences typically change market pricing quickly; monitor official team announcements, injury reports, and lineup confirmations, as well as subsequent price movement, before adjusting positions.
Home-field matters: crowd noise, familiarity with the playing surface, and travel distance/time-zone changes can affect performance; determine which team is listed as the home team on the market page and factor in travel logistics.
Distant past meetings have limited predictive value because rosters and coaching staffs change; recent head-to-head trends, similar opponent performance, and current-season matchups provide more relevant context.