| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 146.5 points scored | 33% | 2¢ | 32¢ | — | $30 | Trade → |
| Over 149.5 points scored | 39% | 2¢ | 39¢ | — | $14 | Trade → |
| Over 137.5 points scored | 55% | 49¢ | 54¢ | — | $8 | Trade → |
| Over 152.5 points scored | 0% | 2¢ | 96¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 9¢ | 90¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 6¢ | 96¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 4¢ | 91¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 56¢ | 63¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 5¢ | 98¢ | — | $0 | Trade → |
This market lets traders bet on the total combined points scored in the college basketball game between Chicago State and LIU. It matters because totals markets synthesize expectations about pace, offense and defense into a single tradable outcome that responds to new information like injuries or lineup decisions.
Chicago State and LIU are NCAA Division I programs, and totals markets for their matchup reflect recent team form, playing style and matchup dynamics rather than long-term franchise narratives. Since game-specific factors (injuries, travel, coaching tactics) can change up to game time, markets like this aggregate changing information into tradable prices.
Prediction market prices indicate the crowd's relative assessment of different total-point outcomes; a higher price means the market assigns a relatively lower expectation to that outcome compared with cheaper outcomes. Use prices as a real-time signal of consensus, and cross-check with on-court news for late-moving edges.
The 11 outcomes represent distinct total-point possibilities or ranges offered by the market; each outcome resolves depending on the game's final combined points according to the market's resolution rules. Check the market description on KALSHI for how those specific outcomes are labeled and how they resolve.
The market's close time is listed as TBD here; typically markets close before or at game start, but exact timing is set by the platform. Confirm the closure timestamp on the KALSHI market page so you know the last moment you can trade.
In many totals markets, overtime points are included unless the market notes otherwise, but practices vary. Verify the market's resolution rules on KALSHI to see whether overtime is counted for this event.
Monitor injury reports and starting-lineup announcements, recent scoring and defensive trends over several games, any roster changes or transfers, and travel or scheduling quirks (e.g., back-to-back games) that could affect effort and rotations.
Head-to-head history can provide context on matchup tendencies, but its relevance depends on how recent the meetings are and whether rosters/coaching staffs have changed. Emphasize recent seasonal trends, current on-court personnel, and matchup statistics over distant historical results.