| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cleveland St. wins by over 1.5 Points | 41% | 35¢ | 38¢ | — | $34K | Trade → |
| IU Indy wins by over 2.5 Points | 48% | 49¢ | 51¢ | — | $14K | Trade → |
| IU Indy wins by over 5.5 Points | 36% | 36¢ | 39¢ | — | $5K | Trade → |
| Cleveland St. wins by over 4.5 Points | 27% | 22¢ | 28¢ | — | $2K | Trade → |
| IU Indy wins by over 8.5 Points | 22% | 24¢ | 30¢ | — | $994 | Trade → |
| Cleveland St. wins by over 10.5 Points | 11% | 7¢ | 13¢ | — | $472 | Trade → |
| Cleveland St. wins by over 7.5 Points | 7% | 11¢ | 20¢ | — | $323 | Trade → |
| IU Indy wins by over 14.5 Points | 19% | 8¢ | 14¢ | — | $297 | Trade → |
| Cleveland St. wins by over 16.5 Points | 3% | 3¢ | 6¢ | — | $214 | Trade → |
| Cleveland St. wins by over 13.5 Points | 0% | 4¢ | 7¢ | — | $0 | Trade → |
| IU Indy wins by over 11.5 Points | 0% | 13¢ | 19¢ | — | $0 | Trade → |
This market lets traders speculate on the point-spread outcome for the college basketball matchup between IU Indy and Cleveland St.; spread markets matter because they express collective expectations about the likely margin of victory and respond quickly to new information.
IU Indy and Cleveland St. are NCAA Division I programs meeting in a single game where the spread encodes the expected scoring gap. The market’s multiple outcomes let participants trade on specific margin brackets rather than just a binary winner, which can sharpen how the market prices small changes in team news, venue, or matchup dynamics.
Prediction market prices here reflect aggregated beliefs about the final margin; movement in prices signals how traders update those beliefs as new information (injuries, lineups, rest, etc.) arrives. Treat prices as a real-time synthesis of public and professional views, not as fixed forecasts.
Closure timing is set by the platform and typically coincides with the official game start (tip-off) or an announced lock time; because this event lists its close as TBD, monitor the KALSHI event page for real-time updates and the final lock time.
Each outcome corresponds to a specific point-spread bracket or margin range for the final score; the winning outcome is the bracket that contains the game’s final margin. Consult the event page to see the exact ranges tied to each outcome.
Focus on how news changes minutes and roles: a missing primary scorer or starting point guard usually shifts expected margin more than a bench absence. Verify reports from reliable team or league sources, estimate the replacement’s impact on offense/defense, and watch for official confirmations before acting.
Yes; home-court factors such as crowd influence, travel fatigue for the visiting team, and historical home/away performance typically sway expected margins. Quantify this by comparing each team’s recent home and road splits and how they perform in similar venue conditions.
Total volume indicates liquidity and interest: higher volume generally means tighter pricing and more participants, making it easier to enter or exit positions. However, volume alone doesn’t guarantee accuracy—assess who is trading (public vs. professional) and watch for late surges that can move prices sharply.