
$0.00
1
1

1 market tracked

No data available
| Market | Platform | Price |
|---|---|---|
![]() | Poly | 51% |
Trader mode: Actionable analysis for identifying opportunities and edge
This event is for the WBB game between Saint Peter's Peacocks and Siena Saints on January 17 at 2:00 PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
AI-generated analysis based on market data. Not financial advice.
$0.00
1
1
This prediction market topic concerns the outcome of a Women's Basketball (WBB) game between the Saint Peter's Peacocks and the Siena Saints, scheduled for January 17 at 2:00 PM Eastern Time. The market allows participants to wager on which team will win this specific NCAA Division I contest, part of the Metro Atlantic Athletic Conference (MAAC) regular season. The market includes specific resolution rules: if the game is postponed, it remains open until completion, and if canceled entirely without a makeup, it resolves as a 50-50 split. This creates a financial instrument tied directly to the athletic performance of these two collegiate teams, with the market price reflecting the collective wisdom on the likely victor. The game is significant within the MAAC conference standings, where every win impacts seeding for the postseason MAAC Women's Basketball Tournament, which awards an automatic bid to the NCAA Tournament. Interest in this market stems from basketball fans, sports bettors, alumni of the institutions, and those following MAAC basketball, who analyze team form, player matchups, and historical data to inform their predictions. The convergence of collegiate athletics and prediction markets exemplifies the growing intersection of sports analytics and speculative finance.
The Saint Peter's vs. Siena women's basketball rivalry is a recurring feature of the MAAC schedule, with the first recorded meeting occurring in the 1990s as both programs have been conference members for decades. Siena has historically held an advantage in the series. For instance, in the 2022-2023 season, the teams split their two regular-season meetings, with each winning on their home court, highlighting the importance of location. The broader context includes Saint Peter's remarkable 2022 men's basketball NCAA Tournament run to the Elite Eight, which brought unprecedented national attention to the Jersey City university's athletics, though the women's program operates on a separate trajectory. Siena's women's program has seen periods of competitiveness, including a WNIT appearance in the 2000s, but has recently been in a rebuilding phase under Coach Jabir. The historical win-loss records between these teams provide a data point for analysts, but recent roster turnover and coaching changes mean past results are only a partial guide to the current matchup.
Beyond the immediate game result, this prediction market matters as a microcosm of the growing integration of financial markets and sports analytics. It allows for the quantification of crowd-sourced wisdom regarding a specific athletic event, providing a real-time probability estimate of the outcome. For the universities involved, conference games like this impact recruiting, alumni engagement, and athletic department morale. A win can boost a team's confidence and improve its position for the MAAC Tournament, where a single championship secures a coveted NCAA Tournament berth, with significant financial and reputational benefits for the winning institution. For followers and bettors, the market offers a structured way to test their knowledge against others, with potential financial rewards. The specific resolution rules regarding postponements and cancellations also matter, as they introduce contractual certainty for participants, distinguishing this market from informal wagering and linking it to principles of event derivatives trading.
As of the latest information, the game is scheduled to tip off at 2:00 PM ET on January 17 at the Yanitelli Center in Jersey City, New Jersey, the home court of the Saint Peter's Peacocks. Both teams are preparing through standard game-week practices, film study, and strategy sessions. The most recent results and injury reports for both squads in the days immediately preceding the game will be the final inputs shaping pre-game predictions and market activity. All indications are that the game will proceed as planned, allowing the market to resolve based purely on the game outcome.
The game is scheduled to be played at the Yanitelli Center on the campus of Saint Peter's University in Jersey City, New Jersey. Saint Peter's is the designated home team for this contest.
According to the market rules, if the game is postponed, the prediction market will remain open and active until the game is eventually completed. The market will only resolve once a final result is achieved on the court.
The game broadcast details are typically announced by the MAAC or the schools' athletic departments. It may be streamed on ESPN+ or a similar conference digital network, or aired on a regional sports network.
The MAAC is the Metro Atlantic Athletic Conference, an NCAA Division I athletic conference comprising 11 private institutions primarily in the Northeastern United States. It sponsors basketball and determines the champion who advances to the NCAA Tournament.
Sportsbooks and prediction markets will establish a betting line or market price closer to the game date, based on team records, player availability, and home-court advantage. The market price itself reflects the collective, real-time assessment of the winning probability.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
Share your predictions and analysis with other traders. Coming soon!

No related news found
Add this market to your website
<iframe src="https://predictpedia.com/embed/hOqg3Q" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Saint Peter's Peacocks vs. Siena Saints (W)"></iframe>