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Austin FC

Data Visualization and Analytics

The materials for this project are confidential. Below is a brief summary of the work.
Screenshots of the web app will be posted with permission from the client at a later time.

Background: The Austin FC Academy has a lot of performance data on players and matches, much of it stored in Excel spreadsheets. I reached out to the coaches to gain an understanding of how that data is collected and managed.

Aim: I proposed building a streamlined data pipeline, creating a centralized database, and developing front-end interfaces for real-time data collection during matches and for analyzing and visualizing insights.

Action: Using SQL, I designed and managed the database, and built user-friendly front-end applications with HTML, CSS, and JavaScript.

Result: The new system simplified data management processes, enabling more efficient analysis and the generation of actionable insights through visualizations, ultimately improving decision-making for the club.

Below are some sample analysis outputs. These analyses are fed into the dashboard to be displayed in an interactive, user-friendly manner. Names are changed here for privacy reasons.

  1. Sample player leaderboard output:

  2. Sample player shot map:

    3. Example points:
    - Shot: ★ at (x=88, y=42), xG = 0.71 (close central 1v1)
    - Shot: ● at (x=72, y=18), xG = 0.18 (tight angle)
    - Shot: ○ at (x=25, y=40), xG = 0.05 (low-probability long shot)

  3. Sample Expected Goals Summary:

  4. Sample Scatter Plot showing Expected Goals and Expected Assists over 90 minutes:
    5. - Top-right: dual threats (high xG/90, high xA/90)
    - Bottom-right: pure finishers (high xG/90, low xA/90)
    - Top-left: creators (low xG/90, high xA/90)
    - Bottom-left: low involvement (both low)

  5. Player vs Staff Ratings from a Training Session: