The power of AI & Machine Learning is literally changing the game. Nearly all major sports teams and Sportsbook have a team dedicated to applying AI & ML techniques. XGBoost modeling is extremely versatile and can be applied in many predictive situations. Set up a free 30 minute consultation to talk through your specific problem with us. Our customers routinely are surprised by what can be captured and quantified.
DoDA’s preferred AI machine learning approach is XGBoost modeling and Python. But if you have a preference for other ML approaches, we are versatile and can tailor our approach to fit your needs.
AI & Machine Learning
Custom Data Feeds
A surprising amount of sports data exists for free online either through open-source projects or by scraping directly off of a web page. Often there are instances where you’ll find the repository of sports data you’re currently paying $100 per month for actually already lives on the Internet for free. A one-time project with DoDA could help you find these direct cost-saving opportunities. We set it up that you receive the data wherever you’re most comfortable. Whether that be as an email attachment, a private web page, or a custom Python script which lives on your PC. We can also upload directly to your own databases such as Microsoft Access, MySQL, MongoDB or Google Big Query.
As an example, you can get a daily breakdown of each NBA player’s Points/Rebounds/Assists/Minutes cut by the other four players who were on the court at the time the statistic was recorded. This data exists in a free, publicly available data source. DoDA sets it up to send a daily summary of this data direct to your Inbox every morning.
Traditional
Dashboards & Reporting
DoDA provides all of the traditional Dashboards & Excel Reports you are accustomed to seeing. We aim to recreate and enhance the specific cuts of data you’re currently getting from a subscription-service website. Working with Deuce of Diamonds enables you to build the exact version of the Dashboard or Report you wish to see. We set up your custom reports in a location where you can share and access such as a private, browser-based dashboard; an email attachment; or a custom Python script which lives on your computer.