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Trader mode: Actionable analysis for identifying opportunities and edge
This event is for the CBB game between Minnesota Golden Gophers and Ohio State Buckeyes on January 20 at 6:30 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.
The prediction market currently prices this women's college basketball game as a pure toss-up, with the "Minnesota Golden Gophers vs. Washington Huskies (W)" share trading at exactly 50%. This price indicates the market sees no clear favorite, assigning both teams an equal 50% chance to win. In a two-outcome market, this reflects maximum uncertainty and a complete lack of consensus among traders on the game's likely result.
The dead-even pricing is primarily driven by the competitive profiles of both teams within the challenging Big Ten conference. Neither Minnesota nor Washington has established clear dominance this season, often hovering around .500 in conference play. This creates a perception of evenly matched squads. Furthermore, the market may be weighing Washington's potential home-court advantage against Minnesota's historical resilience in road games, effectively canceling out each factor. The lack of a significant betting line from traditional sportsbooks at this early stage likely reinforces the prediction market's view of a coin-flip contest.
The most significant catalyst will be the release of official point spreads and moneyline odds from major sportsbooks, which typically occurs 24-48 hours before tip-off. A line favoring one team by 4 or more points would likely cause a sharp move away from the current 50% equilibrium. Additionally, last-minute injury reports or roster availability news for key players, especially either team's leading scorer or primary post defender, could dramatically shift probabilities. Traders should monitor team social media and official announcements on game day, January 18, for any updates that could break the current stalemate in market sentiment.
AI-generated analysis based on market data. Not financial advice.
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The upcoming college basketball game between the Minnesota Golden Gophers and Ohio State Buckeyes on January 20 at 6:30 PM ET represents a significant Big Ten Conference matchup with implications for both teams' postseason aspirations. This regular season contest will be played at Value City Arena in Columbus, Ohio, and will be televised on the Big Ten Network. The game features two programs with contrasting recent trajectories, as Ohio State looks to solidify its position in the NCAA Tournament conversation while Minnesota aims to build momentum in conference play under second-year head coach Ben Johnson. The outcome will impact the Big Ten standings and provide valuable data points for selection committee evaluations in March. Prediction markets are tracking this event because it presents a classic power conference matchup with clear favorites and underdogs, creating natural betting interest around point spreads, moneylines, and over/under totals. The game's timing in mid-January makes it particularly consequential as teams establish their conference identities ahead of the stretch run. Interest extends beyond casual fans to include bracketologists, sports bettors, and alumni networks monitoring their programs' development. The specific market rules account for potential postponements or cancellations, with clear resolution protocols that ensure fair outcomes regardless of scheduling disruptions.
The basketball rivalry between Minnesota and Ohio State dates back to their first meeting on January 21, 1922, with Ohio State winning 32-18. Historically, Ohio State has dominated the series with a 90-60 all-time record against Minnesota. The programs have met at least once every season since 1997 as Big Ten Conference opponents, creating consistent competitive familiarity. In recent years, Ohio State has won 10 of the last 12 meetings, including a 75-64 victory in their most recent matchup on February 27, 2022. The series has produced memorable moments, including Minnesota's upset of top-ranked Ohio State on January 9, 1972, and Ohio State's 85-63 victory in the 2010 Big Ten Tournament championship game. Both programs have rich basketball traditions, with Ohio State making 11 Final Four appearances and Minnesota reaching the Final Four in 1997. The geographical connection adds another layer, as Minnesota has frequently recruited Ohio players while Ohio State has occasionally tapped into Minnesota talent. Conference realignment has preserved this annual matchup, ensuring continued competition between programs with different historical peaks but shared conference affiliation since 1913.
This game carries significance beyond the immediate result, as outcomes in January conference games directly impact NCAA Tournament seeding and bubble team considerations. For Minnesota, a competitive showing or upset victory would demonstrate program progress under Ben Johnson and potentially attract higher-caliber recruits. For Ohio State, maintaining home court dominance against lower-ranked conference opponents is essential for securing favorable tournament positioning and avoiding damaging losses that could jeopardize seeding. Economically, the game generates revenue through ticket sales, television contracts, and merchandise, contributing to both athletic departments' budgets. Socially, the matchup engages alumni networks across the Midwest and provides entertainment during the winter sports calendar. Downstream consequences include potential impacts on player development, coaching job security, and recruiting momentum in key geographic regions. The game also serves as a measuring stick for conference competitiveness, with results influencing national perceptions of Big Ten basketball strength. For prediction markets, this represents a liquid event with sufficient public interest to create efficient pricing and meaningful wagering volume across multiple betting categories.
As of mid-January, Ohio State enters this game with a 10-6 overall record and 2-3 mark in Big Ten Conference play following a victory over Northwestern. The Buckeyes have shown offensive firepower but defensive inconsistencies in recent games. Minnesota stands at 7-8 overall and 1-4 in conference play after dropping consecutive games to Nebraska and Illinois. Both teams are dealing with typical mid-season adjustments, with Ohio State integrating freshman contributors while Minnesota relies on transfer portal additions. The health status of key players appears favorable for both sides, with no major injuries reported ahead of the matchup. Weather conditions in Columbus are not expected to impact game timing or attendance. Television coverage is confirmed for the Big Ten Network with streaming available through Fox Sports platforms. Sportsbooks have established Ohio State as a significant favorite, with point spreads ranging from 10 to 12 points depending on the bookmaker.
The game will be televised on the Big Ten Network with coverage beginning at 6:30 PM ET. Streaming options include the Fox Sports app and website with appropriate cable authentication.
Ohio State leads the all-time series 90-60 dating back to 1922. In recent years, the Buckeyes have won 10 of the last 12 meetings between the programs.
The game will be played at Value City Arena at the Jerome Schottenstein Center in Columbus, Ohio. This is Ohio State's home court with a capacity of 18,809 for basketball.
Ohio State is favored by 10-12 points across most sportsbooks as of January 18. The moneyline favors Ohio State heavily, reflecting their superior record and home court advantage.
According to prediction market rules, if the game is postponed, the market remains open until the game is completed. Only a complete cancellation without a makeup date triggers a 50-50 resolution.
Tickets are available through Ohio State's official athletic website, the Schottenstein Center box office, and authorized secondary market platforms. Prices vary by seating location and demand.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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