| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Abilene Christian | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Alcorn St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Florida International | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Lamar | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Mercyhurst | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Montana St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Radford | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Maryland-Eastern Shore | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Youngstown St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Air Force | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Arkansas St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Army | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Austin Peay | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Binghamton | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Bradley | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Cleveland St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Drexel | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Florida Gulf Coast | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| George Washington | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Illinois St. | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| La Salle | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Lehigh | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Loyola Chicago | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Marshall | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Merrimack | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Middle Tennessee | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Monmouth | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Morehead St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| NJIT | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Norfolk St. | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Northern Colorado | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Ohio | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Pepperdine | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Portland | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Purdue Fort Wayne | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Sam Houston | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| San Francisco | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| South Alabama | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| South Dakota | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Southern Indiana | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Southern Utah | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| St. Bonaventure | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Stetson | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| UC Davis | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| UMBC | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Utah Valley | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| UT Rio Grande Valley | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Wake Forest | 0% | 0¢ | 0¢ | — | $0 | Resolved |
This market asks which team will be crowned the Women's College Basketball NIT Tournament Champion and is useful for tracking market expectations about the tournament outcome. It matters because it aggregates real-money views on which programs are most likely to win a national postseason title outside the NCAA tournament.
The Women's NIT is a postseason college basketball tournament that provides an opportunity for programs that did not make the NCAA tournament to compete for a national title and offseason momentum. Historically the event has offered single-elimination match play and has been a showcase for emerging teams, developing players, and coaching staffs building program momentum. Market listings and participating teams can change with selection decisions, so the market reflects a snapshot of which teams are being priced to win at the time it is active.
Market prices correspond to the collective view of traders about which team is most likely to win and will move as new information arrives (injuries, bracket results, upsets). Use prices as a dynamic signal of market sentiment rather than a fixed forecast; they update throughout the tournament timeline.
The market close time is listed as TBD; the exchange will specify a closing timestamp ahead of the tournament or will close when the official champion is determined. Monitor the market page for an announced close time and any updates from the exchange.
The 48 outcomes correspond to the individual team entries (or named outcomes) the exchange has listed as possible champions in this market. Check the market roster to see which team names are included and whether any auxiliary outcomes are present.
Price moves reflect new information such as game results, injuries, and perceived matchup advantages; sharp moves often follow upsets or news about key players. Short-term volatility is common during game days and bracket updates.
Because the event is single-elimination, a team’s path—who they face in each round—matters as much as overall quality. Bracket position, potential rematches, and regional assignments can create paths that are easier or harder for a given team to navigate.
Off-court developments that change a team’s expected performance are typically reflected in market prices rapidly once public and verifiable; traders will update positions to reflect changes in team strength or availability.