2024-25 NCAAB Remainder Of Season

At Sunflower, we've developed a state-of-the-art algorithm explicitly tailored for college basketball using advanced regression techniques refined over time. We're thrilled to offer access to this algorithm, providing insights for predicting the outcomes of NCAA basketball games nationwide. 

Recognizing the significance of statistical analysis and on-court prowess, our algorithm considers many factors when making predictions. It evaluates an array of data points for each team, including points per game, field goal percentage, rebounds, assists, steals, blocks, and other key performance metrics.

We encourage caution and careful consideration when using our model. While it is a valuable tool, it is ultimately just one factor to consider when making betting decisions. If you have a strong understanding of the sport and the teams involved, and our model agrees with your assessment, that may be a good bet. However, if you and the model are at odds, it may be worth considering other factors before deciding.

Our goal is to leverage this data to accurately anticipate a team's performance in any given matchup. Whether you're a seasoned basketball aficionado or a casual fan, our algorithm can be a valuable tool to inform your predictions. Additionally, beyond assessing team strengths, our algorithm can uncover undervalued teams in the betting market, providing you with a competitive advantage. We're confident that consistently following our algorithm will enhance your betting strategy and overall success rate.