Predictive analytics backed by the power of machine learning that brings novel insights to professional baseball.
With little on-the-field history, it's difficult for traditional analysis to provide effective information. The results of only a few meetings could easily be driven by luck or other factors that don't reflect player talent.
On the other hand, Silent Road's predictive analytics platform uses the power of event-based modeling to generate a detailed analysis for a player match-up. This analysis captures how their abilities will interact, regardless of how many times the players have met on the field before.
We take data from sources such as Stats API. As new events occur on the field, we update our data set to include them.
As data is brought into the platform, it gets processed, cleansed, and combined with our proprietary data.
Our system analyzes every pitcher and hitter action on the field, rapidly incorporating new data points and readily adapting to them.
Our models calculate the probabilities of events occurring on the field. From them we can create unique analyses tailored to your needs.