| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Oral Roberts | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| St. Thomas (MN) | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the St. Thomas (MN) vs Oral Roberts game; it matters because market prices aggregate real-time expectations about the matchup and react to news that can change perceived chances.
St. Thomas (MN) is a program that recently transitioned to Division I and now competes alongside established mid-major programs; Oral Roberts is an established Division I mid-major with recent history of competitive postseason appearances. When these programs meet, observers look at differences in Division I experience, roster composition, and how each team has adapted to conference play.
Market odds are a snapshot of what traders collectively expect given available information; they move as new information (injuries, lineups, travel, coaching changes) becomes public and should be read as an evolving consensus rather than a guarantee.
The market close time is listed on the platform and is currently TBD; typically it will close at or shortly before the official game tip-off per the market rules, so check the event page for the definitive close time.
This market offers two outcomes corresponding to each team winning the game; the winning outcome is determined by the official final game result as defined by the platform’s resolution rules.
Settlement is based on the official game result and box score from the league or recognized game officials (including overtime if played); if a game is postponed or canceled, the platform’s published resolution policy governs the outcome.
Treat St. Thomas’s transition as a factor that affects sample size and experience against Division I opponents—look at how their roster adapted, recruiting upgrades, and recent results against D‑I teams rather than relying solely on historical lower-division performance.
Late injury reports or confirmed absences, announced starting lineups, coaching decisions, travel disruptions, and credible local reports about player availability are the most common catalysts for price movement on this market.