| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New Orleans wins by over 7.5 Points | 47% | 47¢ | 48¢ | — | $25K | Trade → |
| New Orleans wins by over 4.5 Points | 61% | 58¢ | 61¢ | — | $7K | Trade → |
| New Orleans wins by over 1.5 Points | 73% | 68¢ | 70¢ | — | $470 | Trade → |
| New Orleans wins by over 10.5 Points | 38% | 34¢ | 38¢ | — | $37 | Trade → |
| New Orleans wins by over 22.5 Points | 7% | 3¢ | 8¢ | — | $20 | Trade → |
| Southeastern Louisiana wins by over 8.5 Points | 12% | 6¢ | 11¢ | — | $3 | Trade → |
| Southeastern Louisiana wins by over 5.5 Points | 25% | 12¢ | 16¢ | — | $2 | Trade → |
| New Orleans wins by over 16.5 Points | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| New Orleans wins by over 19.5 Points | 0% | 10¢ | 13¢ | — | $0 | Trade → |
| New Orleans wins by over 13.5 Points | 0% | 23¢ | 29¢ | — | $0 | Trade → |
| Southeastern Louisiana wins by over 2.5 Points | 0% | 19¢ | 24¢ | — | $0 | Trade → |
This market lets traders express expectations about the point spread in the Southeastern Louisiana at New Orleans game; spread markets matter because they capture the market view of margin of victory rather than just win/loss.
Southeastern Louisiana and New Orleans are collegiate programs whose matchups are shaped by recent form, roster availability, and stylistic contrasts. Home-court, travel schedules, and short-term trends (streaks, injuries, suspensions) typically drive how the game plays out and how markets react.
Market prices indicate the consensus view on which spread outcome is most likely and will update as new information (injuries, lineups, tip time) becomes available; interpret prices as the market’s evolving assessment rather than a fixed prediction.
A market like this typically closes at a predetermined time before or at game start; 'Closes: TBD' means the platform has not yet posted the final cutoff — monitor the event page and platform notifications for the official close time.
The 11 outcomes correspond to discrete spread buckets (different margin ranges) for the final score; each outcome represents a different band of margin by which one team wins or loses rather than a single point line.
Late personnel changes tend to move the spread market quickly as traders reassess expected margin; the size of the move depends on the player's role and the market’s liquidity and recent traded volume.
Head-to-head history is one input but is less informative than recent team form, current rosters, injuries, and matchup-specific factors; small sample H2H trends should be weighed alongside up-to-date evidence.
Generally, outcomes are settled based on the official final score including overtime; if the game is postponed or not played, settlement follows KALSHI’s event rules (which may include voiding or rescheduling markets) — check the platform’s settlement policy for final details.