Softball Moneyball

The Challenge: Using game play-by-play score sheet data from NCAAs website, build an opponent scouting report. The current process is manual and time-consuming. In the current format, coaches handwrite in-game play-by-plays for upcoming opponents' last 15 games. This may take 6 plus hours from start to finish, per opponent. In the preseason month of February, this could take up to 20 hours a week to produce. Currently there are companies that produce these types of scouting reports, however, the data and information are incomplete. Visually we want a better product, with information that is unique to our in-game goals and strategies. These opponent scouting reports are an instrumental aspect of our in-game decisions, and ultimately help us to win games. Scope: - Importing all GT opponent play by play data into a data-set (sample of NCAA play by play data shown below) - All data is public information and can be found through NCAA Stats website - http://stats.ncaa.org/teams/312390

Built With

• python