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Trader mode: Actionable analysis for identifying opportunities and edge
This event is for the WBB game between New Haven Chargers and Wagner Seahawks 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.
Prediction markets are pricing in a nearly even contest for this women's basketball game. The "New Haven Chargers vs. Wagner Seahawks (W)" share trades at 51% on Polymarket, implying the market assigns a marginal edge to the New Haven Chargers. A 51% probability suggests the market sees the outcome as essentially a coin flip, with no clear favorite emerging from the betting activity. This indicates significant uncertainty about the game's result just two days before tip-off.
The primary factor is the competitive context of NCAA Division I women's basketball. Both teams are mid-major programs where home court advantage and specific matchups often outweigh pure talent differentials, leading to frequent unpredictability. The minimal price movement to 51% likely reflects a slight adjustment for Wagner's home game status, as the event is listed for their venue. Furthermore, a lack of dominant, nationally recognized star power on either roster means the market lacks a clear narrative to anchor on, defaulting to a near-even split. The very low trading volume typical for these niche sports markets also contributes to prices that are slow to react to new information.
The key catalyst will be the release of official injury reports or starting lineups closer to game day. A key player being ruled out for either side could shift the odds meaningfully. Additionally, sharp bettors may enter the market based on more detailed statistical analysis, such as recent defensive efficiency or three-point shooting trends, that aren't yet reflected in the thin trading. The market will remain highly sensitive to any pre-game news until resolution on January 17. Given the 50-50 cancelation clause, any speculation about weather-related postponement for this January game in the Northeast could also introduce volatility, though the indoor nature of basketball makes this a lower-probability factor.
AI-generated analysis based on market data. Not financial advice.
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This prediction market topic concerns the outcome of a women's college basketball game between the University of New Haven Chargers and the Wagner College Seahawks, scheduled for January 17. The market allows participants to predict which team will win the contest, with the event resolving based on the official game result. The game is part of the regular season schedule for both NCAA Division II programs, representing a non-conference matchup that carries implications for regional rankings and postseason tournament resumes. The market includes specific rules for contingencies, such as postponement or cancellation, ensuring clarity for participants regarding potential resolution scenarios. Interest in this market stems from several factors, including the competitive nature of Division II women's basketball, the regional rivalry aspect between teams from Connecticut and New York, and the broader engagement with sports prediction markets that allow fans to test their knowledge against probabilistic outcomes. The game's timing in mid-January places it during a critical period where teams are solidifying their identities and making pushes toward conference tournament qualification. For followers of both programs, this matchup offers a tangible event with a clear binary outcome, making it well-suited for prediction market activity where community insight and sports analytics converge.
The women's basketball programs at New Haven and Wagner have developed as regional competitors within the NCAA Division II landscape, though a frequent head-to-head series is not a longstanding tradition. The University of New Haven program has a history of success dating back decades, with its first NCAA tournament appearance occurring in the 1990s. Under coaches like Debbie Buff, the Chargers have been a perennial contender in the NE-10, a conference known for its depth and quality, producing numerous All-Americans and professional players. Wagner College's program, competing in the NEC, has sought to build a consistent winner on Staten Island. The scheduling of this January non-conference game reflects a modern trend in Division II athletics, where programs strategically schedule regional opponents from different conferences to strengthen their resumes for at-large bids to the NCAA tournament. These bids are heavily influenced by metrics like strength of schedule and regional ranking, which are calculated by committees. Past games between teams from the NE-10 and NEC have often been closely contested, reflecting the similar athletic scholarship structures and competitive balance at the Division II level. The historical context is less about a direct rivalry and more about the ongoing competition for regional supremacy and postseason positioning between two of the Northeast's primary Division II conferences.
The outcome of this game matters for the immediate trajectory of both teams' seasons. A win for New Haven strengthens its case for a high seed in the NE-10 tournament and improves its resume for the NCAA Division II tournament selection committee. For Wagner, a victory against a reputable opponent provides a benchmark of progress, boosts team morale, and enhances the program's profile within its conference and region. Beyond the court, games like this contribute to campus life and community engagement for both universities. They offer student-athletes a high-level competitive experience and alumni a point of connection. For the ecosystem of sports prediction markets, this event represents the application of crowd wisdom to a well-defined sports outcome, testing the market's ability to accurately price probability based on available information about team strength, injuries, and other factors. The clarity of its resolution rules makes it a model for how sports markets can function even with the possibility of schedule changes.
As of early January, both teams are engaged in their respective conference schedules, preparing for the mid-January non-conference matchup. Game preparations are underway, with coaches analyzing film and implementing specific strategies for the opponent. The health and availability of key players like Deshaies and Cowan will be monitored in the games leading up to January 17. The official game is scheduled for 2:00 PM ET on January 17 at the Wagner College Athletic Complex on Staten Island. Weather-related contingencies for travel or facility issues are standard considerations for winter games in the Northeast, though the market rules are designed to account for such possibilities.
The University of New Haven Chargers women's basketball team competes in the Northeast-10 Conference (NE-10), which is part of NCAA Division II. The NE-10 is widely regarded as one of the most competitive Division II conferences in the country.
The game is scheduled to be played at the Wagner College Athletic Complex, located on the Wagner College campus in Staten Island, New York. This gives the Wagner Seahawks the home court advantage for this contest.
According to the prediction market rules, if the game is postponed, the market will remain open and active until the game is eventually completed. The market will then resolve based on the official result of the played game.
If the game is canceled entirely with no make-up game scheduled, the prediction market will resolve as a 50-50 split. This means all contracts will be settled at a price of $0.50, reflecting the lack of a determinative outcome.
Tara Macci is the head coach of the Wagner College Seahawks women's basketball team. She is leading the program through its season in the Northeast Conference.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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