Please enable JavaScript.
Coggle requires JavaScript to display documents.
SPORTS - Coggle Diagram
SPORTS
TOOL USED
Excel/Google Sheets
R studio
Weka
Rapidminer
Challenges
Incomplete and missing WNBA data
Biased or outdated statistics
Limited recent season data
Small dataset compared to NBA
Expected Output
Player performance rankings
Team strategy recommendations
Win/Loss prediction model
Data visualizations and reports
BUSINESS PROBLEM
Incomplete and difficult to find WNBA data
Late adoption of analytics tools by WNBA teams
Limited research on women's basketball performance
No dedicated datasets available for WNBA analysis
Teams rely on intuition rather than data
Data Collection
Data
Player Statistics (points, assists, rebounds, steals)
Team Standings and Win/Loss Records
Game Results per Season
Player Performance per Position
Sources:
Basketball Reference (basketball-reference.com/wnba)
WNBA Official Stats (stats.wnba.com)
ESPN WNBA (espn.com/wnba/stats)
Other possible web
Data Mining Techniques
Classification
Clustering
Regression
Association Rules
Benefits
To the Organization
Better coaching decisions
Smarter player recruitment
To the Players
Personalized development plans
Fair performance evaluation
To Society
Promotes women's sports
Increases fan engagement