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Welcome to the SCORE Network!

What is the SCORE Network?

SCORE is a cutting-edge, NSF-funded national network dedicated to creating and sharing Sports Content for Outreach, Research, and Education in statistics and data science. This unique collaboration between academic and industry leaders drives the development and distribution of innovative educational modules, access to data, and offers unparalleled opportunities to impact and inspire the next generation of learners.

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Get involved with SCORE!

JOIN US!

Collaborating with SCORE provides a unique opportunity to expand your professional network by connecting with experts and peers in the fields of statistics and data science. This partnership will not only enhance your skills, but could also open doors to new professional opportunities and academic collaborations.

ACCESS
RESOURCES

The SCORE network has developed a range of modules designed to support both students and educators in the fields of statistics and data science. We have also created a data repository for public use. These resources aim to enhance learning and teaching, providing practical tools and content for learning key concepts in statistics and data science.

SUBMIT
A MODULE

Publishing a module with SCORE allows you to contribute to a growing repository of educational resources, helping to expand both our network and yours. By contributing a peer-vetted module, you will gain visibility within academic and professional circles, showcasing your expertise and advancing the overall educational community.

Modules

MLB Injuries - Introductory Time Series Analysis

Explore MLB injury trends from 2001 to 2023 through time series analysis and forecasting to understand patterns and predict future injury counts.

Stolen Bases

Investigate stolen base success rates in baseball using normality tests and the properties of normal distributions.

2023 Boston Marathon - Variability in Finish Times

Compare male and female finish times in the 2023 Boston Marathon using visualizations, statistics, and z-scores to explore performance variation.

League of Legends - Buffing and Nerfing

Learn to interpret histograms, describe champion performance distributions, and identify outliers in League of Legends gameplay data.

Lacrosse PLL vs. NLL

Analyze goal-scoring in the PLL and NLL to compare indoor and outdoor play while learning to test for differences in means and construct confidence intervals.

Lacrosse Faceoff Proportions

Analyze NCAA Division I Lacrosse faceoff percentages and apply hypothesis testing to evaluate team performance against league averages.

Unbreakable Records in Baseball

Understanding the probability of breaking one of baseball's longest-standing records, as explained via the concept of binomial experiments. (Image Credit.)

Marathon Record-Setting Over Time

Determining whether the setting of world records in the marathon is historically a Poisson process. (Image Credit.)

Predicting NHL Shooting Percentages

Predicting a hockey player's future shooting percentage using exploratory data analysis and simple linear regression. (Image Credit.)

Ironman Triathlete Performance

Gain insight into the performance patterns of triathletes by exploring the relationships between swimming, biking, and running times. (Image Credit.)

FIRST Robotics Competition - Winning Chances

Assess the EPA model's prediction accuracy in FIRST Robotics Competition with the Brier score.

NASCAR Regression Transformations

Analyze how a NASCAR driver’s lap position relates to their rating using linear models, log transformations, and polynomial regression.

Ironman Triathlon (Canadian Females) - Multiple Linear Regression

Predict Ironman marathon times using swim and bike times with 2022 Lake Placid data.

Ace Rates in Tennis by Surface

Use linear regression to compare mean differences in tennis ace rates across groups, with an introduction to ANOVA, using ATP match data from 2023.

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SCORE Highlights

SCORE Article Published on INFORMS.org

Date: December 10, 2024

Connecticut Sports Analytics Symposium Workshop for Educators on Using SCORE Network Materials

Date: April 11, 2025
Location: Yale University (check CSAS schedule for location)

USCOTS Workshop - Creating Interactive Modules for Teaching with Sports Data

Date: July 17, 2025
Location: Iowa State University (check USCOTS schedule for location)