1. Meta-metrics to Quantify Properties of Quarterback Statistics
Julia S. Stiller and Michael J. Lopez

2. NBA Metric Reliabilities
Franks et al. used two meta-metrics, stability and discrimination, to analyze NBA and NHL metrics
graphs  we should be impressed by these

3. NHL Metric Reliabilities
High number of metrics and most fall above 0.8 for both S and D
So what happens with football?

4. Understand concepts of stability and discrimination
This is an example of a metric with high stability and low discrimination

5. This is an example of a metric with low stability and high discrimination
When we quantify the stability and discrimination for each metric for all players in all seasons we see…

6. This is what happens with football
This is what happens with football! Summarize terms and generally what’s best/worst

7. Referrences Acknowledgements
Franks, A. M., D’Amour, A., Cervone, D., and Bornn, L. (2016), “Meta- analytics: tools for understanding the statistical properties of sports metrics,” Journal of Quantitative Analysis in Sports, 12, 151–165.
Acknowledgements
We would like to thank the Student Opportunity Funds of Skidmore College for providing a grant to support this project.