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Trader mode: Actionable analysis for identifying opportunities and edge
This event is for the CBB game between Duquesne Dukes and Saint Louis Billikens on February 28 at 8:00 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 give the Duquesne Dukes a 65% chance to win their college basketball game against the Saint Louis Billikens. This means traders collectively see about a 2 in 3 probability of a Duquesne victory. The market shows a clear, but not overwhelming, favorite.
Two main factors explain the odds. First, team performance this season is very different. Duquesne entered this game with a strong 18-9 record and was competing near the top of the Atlantic 10 conference. Saint Louis struggled significantly, holding one of the league's worst records at 10-17. Recent results also matter. Duquesne had won four of its last five games, while Saint Louis had lost four of its last five, creating clear momentum for the Dukes.
Second, the game was played at Duquesne's home court, the UPMC Cooper Fieldhouse. In college basketball, home teams win more often than not due to familiar surroundings and fan support. Combining Saint Louis's poor season with Duquesne's home advantage makes the Dukes the logical favorite.
For a regular season game like this, the main event is the game itself. The tip-off was scheduled for 8:00 PM ET on February 28. The only thing that could change the prediction after that time is an official postponement or cancellation. If the game was postponed, the market would stay open until it was played. A full cancellation with no make-up date would result in a 50-50 split of all funds wagered.
For individual sports games, prediction markets are generally quite accurate. They aggregate the knowledge of many fans and bettors who follow team stats, injuries, and trends. The odds often align closely with those set by professional sportsbooks. However, their reliability has limits. Any single game has inherent unpredictability. An underdog can always have a hot shooting night or force key turnovers to win, which is why Duquesne's probability is 65% and not 90% or higher. Markets are good at setting the odds, but they can't eliminate the surprise that makes sports exciting.
Prediction markets on Polymarket price the Duquesne Dukes as the clear favorite to win this Atlantic 10 conference matchup. The "Duquesne Dukes to win" share trades at approximately 70 cents, implying a 70% probability of victory. The corresponding "Saint Louis Billikens to win" share trades near 30 cents. A 70% chance indicates the market sees a Duquesne win as the most likely outcome, but Saint Louis retains a significant, roughly one-in-three shot at an upset. Total market volume is modest at $47,000, suggesting limited capital is backing these odds.
The pricing directly reflects the teams' divergent seasons. Duquesne entered this game with a 17-10 overall record and was competing for a top-four seed in the A-10 tournament, a position that comes with a crucial double-bye. Saint Louis, with a 10-18 record, was near the bottom of the conference standings. Market sentiment heavily weights recent performance and situational context. Duquesne was playing for tangible postseason positioning, while Saint Louis's season was effectively over, a dynamic that often influences effort and execution. Historical data also supported this line, as Duquesne won the first meeting between these teams by 9 points in January.
For a game with an imminent tip-off, the odds are largely locked in based on known information. The primary variable that could shift the implied probability is late-breaking news, such as a key player being ruled out after warm-ups. Absent that, the market has priced in the available fundamentals. A sharp move in the closing minutes before resolution would typically require a major, unexpected in-game event, like a star player suffering an early injury. For bettors, the remaining risk is whether Saint Louis, freed from pressure, plays a looser, more dangerous game, or if Duquesne's motivation translates into focused play or tight nerves.
Editor's Note: This game was played on February 28, 2024. The Duquesne Dukes defeated the Saint Louis Billikens by a score of 73-59, meaning the "Duquesne to win" market resolved to YES.
AI-generated analysis based on market data. Not financial advice.
$46.67K
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This prediction market concerns the outcome of a men's college basketball game scheduled for February 28 at 8:00 PM Eastern Time. The game is part of the Atlantic 10 Conference regular season, featuring the Duquesne Dukes visiting the Saint Louis Billikens at Chaifetz Arena in St. Louis, Missouri. Prediction markets allow participants to trade contracts based on their forecasts of the game's result, with prices reflecting the collective probability of each potential outcome. The market will remain active if the game is postponed and resolve to a 50-50 split only if the contest is canceled without being rescheduled. Interest in this market stems from the competitive nature of Atlantic 10 basketball, the specific stakes for both teams in the conference standings as the regular season concludes, and the inherent unpredictability of the sport. Duquesne and Saint Louis have had contrasting seasons, making this a matchup with implications for postseason tournament seeding. Bettors and fans analyze team performance, player availability, and historical head-to-head results to inform their predictions. The game is televised on CBS Sports Network, providing a national audience and adding to the visibility of the event.
The basketball series between Duquesne and Saint Louis dates back to the 1970s, but it gained consistent annual significance when both schools became members of the Atlantic 10 Conference. Saint Louis joined the A-10 in 2005, while Duquesne has been a member since 1976. The head-to-head record in conference play has been relatively even, reflecting the competitive balance between the programs. In recent seasons, specific games have had major implications. During the 2022-2023 season, Duquesne defeated Saint Louis 73-59 at home in a game that helped solidify the Dukes' position in the middle of the conference standings. The most memorable recent meeting occurred in the 2019 Atlantic 10 Tournament quarterfinals, where Duquesne, as the 6th seed, upset 3rd-seeded Saint Louis by a score of 75-58. That victory was Duquesne's first in the A-10 Tournament since 2016 and ended Saint Louis's hopes for an automatic bid to the NCAA Tournament that year. Historically, Saint Louis has had more postseason success, including multiple NCAA Tournament appearances in the last decade, while Duquesne has not reached the NCAA Tournament since 1977, the longest active drought among major conference teams.
The outcome of this game directly affects the seeding for the upcoming Atlantic 10 Conference Tournament in Brooklyn. Tournament seeding determines matchups and can be the difference between a path to the championship game or an early exit. For Duquesne, a strong finish could mean avoiding the first-round games played by the lowest seeds, which requires extra energy and increases the risk of an upset. For Saint Louis, finishing with a winning record in conference play is a tangible goal that reflects program progress after a rebuilding phase. Beyond the teams, the game has economic implications for the universities and the host city. A successful team drives ticket sales, alumni donations, and merchandise revenue. For the Atlantic 10 Conference, competitive games between member institutions enhance the league's television ratings and overall brand value, which is important during contract negotiations with broadcast partners. The game also matters to the players, as individual performances in late-season conference games can influence postseason award voting and professional opportunities.
As of late February, both teams are preparing for their final regular season games. Duquesne is coming off a mixed set of results, showing the volatility typical of a mid-table conference team. Saint Louis recently ended a multi-game losing streak with a home victory, which may provide a boost in confidence. The health of key players on both rosters is being monitored, as injuries can significantly alter a game's dynamics at this stage of the season. The specific betting lines and point spread for the February 28 matchup are being set by sportsbooks, with early indicators likely showing Duquesne as a slight favorite on the road due to their superior overall record.
The game is scheduled to be played at Chaifetz Arena in St. Louis, Missouri. This is the home court of the Saint Louis Billikens. The arena has a capacity of approximately 10,600 for basketball games.
The game is scheduled for national television on CBS Sports Network. Tip-off is set for 8:00 PM Eastern Time on Wednesday, February 28. Streaming is available through the CBS Sports app with a valid cable subscription.
Based on season performance, Duquesne is likely to be a modest road favorite. Sportsbooks establish point spreads by evaluating team records, recent form, and head-to-head history. The spread often moves in the days leading up to the game based on betting activity and injury news.
Duquesne is playing for improved seeding in the Atlantic 10 Tournament. A higher seed means a more favorable first-round matchup and an easier path through the bracket. The game is also important for the team's overall win total, which is a factor in potential postseason invitations to tournaments like the NIT.
The teams have not yet played during the 2023-2024 regular season. This February 28 matchup will be their first and only scheduled meeting. Their most recent game was during the previous season, which Duquesne won.
Legal sports betting is available in many states through licensed online sportsbooks and retail locations. Popular bets include the point spread, moneyline (outright winner), and over/under on the total points scored. Always verify that the operator is legal in your jurisdiction.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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