SBIA: The data-driven approach to sports betting
In a game of odds, the smartest bettors know consistency is the key to significant returns.
Our winning edge is our commitment to consistently achieving a 55%* probability success rate. If you’re making bets on the NBA, MLB, NCAA BB, and want a competitive edge, leverage SBIA analytics to how you approach your bets.
* Based on 7+ years of extensive backtesting for sides and totals market. Moneyline is excluded from this success rate as odds are not the traditional 11 to 10.
We employ a systematic approach to pick selections that aren't influenced by hype or marketing ploys (national television games, marquee matchups, etc.).
All you need to win
With SBIA, we provide picks that are meticulously researched and backtested so you can be confident in the outcome of your bets.
Our team of accomplished data scientists, engineers, and seasoned sports betting professionals have used state-of-the-art research processes, to analyze tens of thousands of data points for each sport.
Our picks take emotion out of the equation and instead rely on cutting-edge analytics and sophisticated modeling to provide you the best results.
We don’t hide or change our results. Track our picks everyday. We are confident this will make your decision to join a simple one.
Our demand for excellence must be fueled by a talented, innovative, and creative modeling team. If you are a Data Scientist / Data Modeler ready to join a cutting edge start up and enter the emerging sports betting industry, send us your resume.
INVESTING POWERED BY SPORTS BETTING
Introducing SBIA, an exclusive handicapping service for the serious bettor, who wants to not just win with Sports Betting but use it as a way to invest.
Our team is comprised of accomplished data scientists, engineers and seasoned sports betting professionals.
We create data-driven models analyzing numerous aspects of each sport. Our models are thoroughly back-tested and achieve a rate of predictability that could provide a winning edge for the long term.