[OC] NCAA Hockey – Spielzeit, die in Führung, Rückstand und Unentschieden verbracht wird

This is a personal project I started to learn some new skills and since the college hockey audience is pretty niche I wanted to see what people, especially those who are not familiar with sport/hockey at all, think of how I represented the data.

The goal is to represent how dominate or dominated teams have been so far this season as well as identify the teams that play games that could go either way each time. I’d love to here what this community thinks of these visualizations.

**Data Source:** [CollegeHockeyNews.com](http://CollegeHockeyNews.com) – Men’s NCAA D1 Box Scores

**Tools – Python:**

– **Scraping**: BeautifulSoup

– **ETL**: Pandas, Numpy

– **Visualization**: Matplotlib, Seaborn

Game summaries and box scores for each NCAA Division 1 college hockey game in the ongoing 2024-25 season were collected from CollegeHockeyNews.com. Exhibition games are not included in the data.

More fun with college hockey data and visualization can be found on the project’s GitHub Repo