Project #1
Wearable Player Tracking Technology and USA Lacrosse
The purpose of this project is to explain how Kinexon’s player tracking technology can benefit Team USA’s Men’s lacrosse team making them a more advanced and creative team. This player tracking technology will not only make Team USA a data enhanced team but also increase their fan base.
Project #2
A Weighted Plus or Minus Metric for Mens Lacrosse
I created a plus or minus metric weighted on goal importance and position for men's lacrosse using Stevenson University's 2023 team.
Project #3
Female Athletes and Body Image Issues
This project addresses the unique challenges that female athletes have to face. It presents research based solutions to best support girls in their athletic careers.
NWSL Franchise Volunteer Game Day Experience
For this project, I collaborated with my classmates in my Sports Analytics and Management Program to create a structured plan to increase attendance among NWSL volunteers- specifically with the Washington Spirit. We created our own consulting firm and devised a well-researched plan to improve attendance.
Coaching Strategy vs Player Performance in Men's Lacrosse
For this project, I distributed a survey to players to analyze coaching strategies and then compared their answers to their performance. Players answered questions on a scale of 1-5 about player comfort, motivation, and respect for coaches. I analyzed the data using Rstudio.
LacrosseReference Elo Ratings
For this project I worked with LacrosseReference to assess whether specific conferences outperform or underperform their Elo ratings assigned by LacrosseReference. I worked with the owner of LacrosseReference to identify the problem and see how the model could be updated to better reflect teams Elo ratings.
The Best Methods to Predict Teams Actual Performance
For this project I analyzed multiple methods to determine what the best and most accurate predictive methods are to model team's actual performance. The three methods that I looked at were single sourced, crowd sourced, and database methods.
NHL and Paired T-Distribution
I completed this project for a Mathematics Statistics course. I used a paired t-test to compare 68 NHL players from the 2019-2020 season and the 2020-2021 season. I tested two claims, the first was that the mean points of players increased from the two seasons, and the second was that the mean penalty minutes of players increase from the two seasons.