| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Texas A&M-Corpus Christi wins by over 2.5 Points | 48% | 46¢ | 48¢ | — | $19K | Trade → |
| Texas A&M-Corpus Christi wins by over 1.5 Points | 51% | 51¢ | 52¢ | — | $2K | Trade → |
| New Orleans wins by over 10.5 Points | 16% | 12¢ | 16¢ | — | $1K | Trade → |
| Texas A&M-Corpus Christi wins by over 8.5 Points | 31% | 24¢ | 28¢ | — | $347 | Trade → |
| Texas A&M-Corpus Christi wins by over 14.5 Points | 16% | 9¢ | 12¢ | — | $335 | Trade → |
| Texas A&M-Corpus Christi wins by over 4.5 Points | 42% | 37¢ | 40¢ | — | $205 | Trade → |
| New Orleans wins by over 2.5 Points | 41% | 36¢ | 40¢ | — | $194 | Trade → |
| New Orleans wins by over 1.5 Points | 39% | 41¢ | 42¢ | — | $152 | Trade → |
| Texas A&M-Corpus Christi wins by over 5.5 Points | 40% | 33¢ | 37¢ | — | $107 | Trade → |
| New Orleans wins by over 11.5 Points | 14% | 11¢ | 13¢ | — | $45 | Trade → |
| New Orleans wins by over 13.5 Points | 10% | 7¢ | 10¢ | — | $36 | Trade → |
| New Orleans wins by over 4.5 Points | 27% | 28¢ | 32¢ | — | $15 | Trade → |
| New Orleans wins by over 8.5 Points | 19% | 16¢ | 20¢ | — | $9 | Trade → |
| Texas A&M-Corpus Christi wins by over 17.5 Points | 11% | 4¢ | 8¢ | — | $7 | Trade → |
| Texas A&M-Corpus Christi wins by over 11.5 Points | 22% | 15¢ | 20¢ | — | $4 | Trade → |
| New Orleans wins by over 14.5 Points | 0% | 5¢ | 8¢ | — | $0 | Trade → |
| Texas A&M-Corpus Christi wins by over 10.5 Points | 0% | 17¢ | 23¢ | — | $0 | Trade → |
| New Orleans wins by over 16.5 Points | 0% | 4¢ | 6¢ | — | $0 | Trade → |
| Texas A&M-Corpus Christi wins by over 16.5 Points | 0% | 6¢ | 8¢ | — | $0 | Trade → |
| New Orleans wins by over 5.5 Points | 0% | 25¢ | 29¢ | — | $0 | Trade → |
| Texas A&M-Corpus Christi wins by over 7.5 Points | 0% | 27¢ | 31¢ | — | $0 | Trade → |
| Texas A&M-Corpus Christi wins by over 13.5 Points | 0% | 11¢ | 14¢ | — | $0 | Trade → |
| New Orleans wins by over 7.5 Points | 0% | 19¢ | 24¢ | — | $0 | Trade → |
This prediction market asks which point-spread outcome will occur in the college basketball game New Orleans at Texas A&M–Corpus Christi. It matters because spread markets translate game-level information into tradable probabilities and let participants express views on margin-of-victory rather than just winner/loser.
New Orleans (Privateers) and Texas A&M–Corpus Christi (Islanders) are collegiate programs with different styles and roster compositions; spread markets for their matchup reflect expectations about scoring margin and matchup advantages. The market currently lists 22 distinct spread outcomes and has recorded total trading volume of $318; the market closes and settles based on the official final score once the game is completed. Historical head-to-head trends, recent form, injuries, and location all feed into how traders price each spread band.
In this market each quoted outcome corresponds to a specific point-differential band; higher-priced outcomes indicate greater market consensus that that band will be the final margin. Use prices to compare how the market views relative likelihoods across different margins rather than as fixed predictions.
The market will settle using the official final score of the game to determine which point-differential outcome occurred; settlement occurs after the game is completed and any league official score corrections are applied.
Each of the 22 outcomes maps to a specific point-spread band or exact margin range for the game (for example, different bands for Texas A&M–Corpus Christi covering by various margins versus New Orleans covering). Check the event page for the exact mapping of outcomes to margin ranges.
Trading generally stops at or just before the official scheduled tip-off time; 'Closes: TBD' means the event’s final trading cutoff time has not been posted on the page yet, so monitor the event for updates and any announced close time.
Watch official starting lineup releases, injury reports, illness or travel issues, last-minute scratches, and announced minute restrictions for key players—any of these can materially change expected margins and move market prices.
Use head-to-head results to note matchup tendencies but weight them against recent team form, roster changes, and current-season metrics (offensive/defensive efficiency, pace). Recent trends and current availability typically matter more than distant historical meetings.