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A group of undergraduate students conducting research on NFL football injuries occurring between the 2019-2020 and 2022-2023 seasons. We are analyzing injury rates on different field surfaces (artificial turf, natural grass, and hybrid turf) and considering a variety of game, weather, team, and player factors.

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NFL-Injury-Analysis

A group of undergraduate students led by a professor conducting research on NFL football injuries. Our goal is to analyze NFL injuries that occured between 2019 and 2023 based on a variety of factors such as field type (turf or grass), weather, player position, contact or non-contact hit, and more. We ultimately will use this data to create a model that will predict injury likelihood for NFL players. We will also analyze the data and search for patterns that lead to injury based on the measured variables. We are currently writing a research paper to submit to the American Journal of Sports Medicine detailing our findings.

Folder Descriptions

Data: Contains csv data files of all information that we collected and used in our analysis

Models: Contains the models that we created based on the data

Schedule: Contains information on the schedule of NFL seasons between '19'-20 and '22-'23

Scripts: Contains scripts of our R data files and RMarkdown files

Visualizations: Contains files that we used to visualize the data.

Team Members

Peter Walsh- walshpd2@miamioh.edu

Samantha Erne- ernesm@miamioh.edu

Brendan Beattie- beattibs@miamioh.edu

Jake Holroyd- holroyjm@miamioh.edu

We showcased our research at the Miami University Undergraduate Research Forum in mid-April. An article featuring our team is linked here.

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A group of undergraduate students conducting research on NFL football injuries occurring between the 2019-2020 and 2022-2023 seasons. We are analyzing injury rates on different field surfaces (artificial turf, natural grass, and hybrid turf) and considering a variety of game, weather, team, and player factors.

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