I will perform sports data analysis eda and visualization
About this Gig
Are you ready to find the hidden edge in your sports data? I speialize in Sports Analytics using Python to turn box scores, tracking data, or player stats into clear, strategic insights for scouting, betting, or fantasy.
What I deliver:
- Custom Metrics: Calcuate specialized metrics like xG (Expected Goals), PER (Player Efficiency Rating), or custom efficiency scores.
- Visual Storytelling: Create compelling charts (shot maps, heatmaps, positional charts) that instantly show performance trends.
- Scouting Reports: A PDF summary detailing player/team strengths, weaknesses, and potential performance drivers.
Requirements:
- Data File (CSV, Excel, or a link to a public API like Basketball-Reference).
- Target Player/Team and the specific question (e.g., "What is the team's most efficient attack zone?").
FAQ
What sports do you cover?
I primarily focus on NBA, NFL, and Soccer/Football, but I am open to discussing custom offers for baseball, hockey, or collegiate data.
Can you help me win my Fantasy League?
I can provide the statistical analysis and predictive models to give you an edge, but I cannot guarantee results as betting/fantasy involves risk.
How do I get the data?
You can provide the data, or for the Standard/Premium packages, I can scrape/access public data (e.g., from an ESPN or API source) as part of the service.
