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CAMBRIDGE SPORTS ANALYTICS 

Take Your
Prediction Game
to the Next Level

Innovative and transparent prediction technology
for elite performance and decision-making.

01  INTRODUCTION

Trusted By Forward-Thinking Sports Organizations

Applied across professional and collegiate sports to support high-stakes decision-making in uncertain environments.

Collegiate

Sports

Basketball

Baseball

Soccer

Football

AND MORE

SPORTS WE SUPPORT

Who We Are

A leader in sports analytics and predictive technology, offering cutting-edge solutions to teams, analysts, and sports professionals.

CSA deploys a groundbreaking model-free prediction system called Relevance-Based Prediction (RBP) that offers compelling advantages over conventional methods such as linear regression analysis as well as more advanced AI models such as neural networks.

02  SOLUTIONS

Solutions

We deliver flexible, client-specific analytics solutions, offering both ready-to-use tools and customized prediction workflows depending on goals, data, and technical expertise.

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​Three solutions, one engine.

Integrate Relevance-Based Prediction into your own data analysis.​

Our flexible API gives you instant access to every aspect of relevance, including optimized grid prediction, task-specific fit, variable importance, similarity, informativeness, and more. 

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03  METHOD

The Methodology 

Relevance-Based Prediction (RBP) is a model-free forecasting framework designed to overcome the limitations of both classical statistical models and black-box AI.

RBP forms predictions as weighted averages of past observations, with weights determined using fundamental principles of information theory to identify the most relevant observations and predictive variables for each prediction task.

 

By evaluating thousands of combinations of observations and variables, RBP extracts as much information from complex datasets as AI models. Unlike AI models, however, RBP reveals exactly how each observation and variable contributes to every prediction. 

For readers interested in the technical foundations of Relevance-Based Prediction, we’ve published detailed research papers covering its theory, validation, and empirical performance.
 

For applied discussions, we’re happy to walk through examples tailored to your sport, data, and decision context.

04  APPLICATION

Built For 

Build strong rosters with transparent projections, reliabilty measures, and relevant comparisons that support smarter personnel decisions

Support pre-game planning and in-game decisions with reliable forecasts tailored to specific opponents and situations. 

Identify talent more effectively with transparent projections, relevant player comparisons, and insights into future performance.

Assess player value, future performance, and risk to support contracts, free agency decisions, and roster planning. 

Access flexible prediction tools, custom research, and expert support tailored to your organization's needs. 

/01

Roster Construction

/02

Game Strategy & Forecasting

/03

Player Evaluation & Scouting

/04

Contract & Market Analysis

/05

Custom Analytics & Support

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Cambridge Sports Analytics
245 Main Street, 11th Floor 

Cambridge, MA 02142

© 2026 Cambridge Sports Analytics. All rights reserved.                                                                                                                                                                  Cambridge, Massachusetts

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