It all started when a group of 5 hotshots were hired by Mr. Drake Romaro, a billionaire who made his fortune from betting on sports. While his initial bets were lucky hoops, which made him a fortune, now he thinks he needs to develop a calculated wining strategy. Mr. Romaro has started his own analytics company to analyze the 2019 – 2020 basketball season data predicted the winning team. He has recently asked fresh graduates from UT Austin Data Camp to help him win big this season.
- Q.1. �Which are the top 8 teams for each conference in the current season, till the last data point? What are the scores of the top 8 teams? And their win to loss ratio. For each conference.
- Q.2. �Does the home team win more or the visitors team win more matches?
- Q.3. �What are the locations of the game? Heat map indicators of teams with more wins.
- Q.4. �Calculating correlation between team player stats, team field goal % and other variables against games won by the team.
- Q.5. �Defining winning parameters to determine a score for “Win Factor” of each team.
- Importing and merging relevant data files.
- Create data frame of top 8 teams and their respective win/loss scores and ratio.
- Make a bar graph with wins in green and losses in red.
- Calculate the number of win counts by home team and visitors team, and represent them in a pie chart.
- Use Google API to match venue location and extract their latitude and longitude. Map game location on Google Maps.
- Heat map indicators of teams with more wins percentage.
- Extract player points and average their data in new data frame. Sum all the team’s player data and match them to their respective team.
- Calculating correlation between team player stats and game won by the team.
- Make scatter plots of Team Win vs. Player Stats and other variables and run regression for each conference to find relationship between variables.
- Make observation as per analysis results and define winning parameters for win prediction.
Prensentation made by Umar Farooq, approved by Project Team.