Services

Data Analytics

With a wealth of data from many systems, there is a tremendous opportunity to understand what’s driving success and what’s causing missed opportunities. Our expertise helps us break down your data into insights including but not limited to:

Player Analysis
Team Analysis
Offensive Scheme/Defensive Scheme Success Rates
Athlete Load Metric trends

Machine Learning & AI

The rise in data quantity has enabled the application of predictive analytics to sports. Using the latest Machine Learning and AI algorithms, we build models to predict outcomes that are of interest to your organization. For example, our NHL Shot Quality Index model for Project 94 Hockey assesses the quality of a shot by predicting the outcome of the shot. Our engagement process in AI includes:

Discover use cases for applying predictive analytics
Ingest data and train predictive models to achieve performance thresholds
Implement predictive models into analytics and reporting process

Visualization and Reporting

Based on decisions that fit best for your data and analytics needs, we implement reporting tools, whether that’s a dashboarding tool like Power BI or Tableau or a custom internal web application framework like Shiny. With experience in both internal and external (fan engagement) data visualization, This includes:

Gathering requirements on what data needs to be reported and when it needs to be available
Developing pipelines to connect data sources to reports and visualizations
Design and Implementation of the Reports/Dashboards

Data Aggregation

The current sports technology landscape constantly provides opportunities to purchase and incorporate new technologies into operations. With many data sources operating in disparate areas, our data engineering experience accelerates the process of collecting data from isolated systems and bringing them together for one cohesive view of your data. Documenting future data goals, such as predictive analytics, maximizes our ability to build data pipelines for scale.

Metric Development

We help turn questions you have about your data and your players into actionable metrics. After understanding how the in-play strategy operates, our team develops quantitative metrics that summarize performance and outcomes. Examples of metrics include:

Net Player Score per Game
Play/Scheme Efficacy Rates
xG (expected goals) or similar expected outcome metrics

System Integration

The capabilities of software and hardware in sports are constantly evolving and improving. Replacing deprecated software without any hiccups in reporting and analytics requires a data strategy that maps the old system to the new and ensures data pipelines maintain data accuracy. At the single-point data level, we know the necessary steps, from purchasing sports technology to activating the data it provides for analytics.

Elevate Your Game with Precision Data Analytics

Gain a competitive edge in sports strategy. Reach out today to work with us and explore our expertise in player analysis, machine learning, and data visualization!