Role:
Product Designer,
Full-Stack Developer
Project Type:
Independent Product
Platform:
Desktop
Timeline:
Ongoing — Updated June 2026
Tools:
Photoshop, Figma, Python,
HTML, CSS, JavaScript
Impact Performance is a hockey analytics platform focused on contextual player evaluation through interactive comparison tools, advanced scoring breakdowns, and custom performance metrics.
The project was created to make hockey analytics more visually understandable, easier to compare, and more accessible through structured UI systems and interactive data visualization.
Rather than relying only on traditional box score totals, the platform emphasizes how production is generated across different game situations, score states, and strength states.
Contextual player comparison
Advanced Impact metrics
Strength-state scoring analysis
Interactive statistical visualizations
Team matchup breakdowns
Season-wide Impact leaderboards
Goalie analytics and comparison tools (beta)
Traditional hockey statistics often lack context.
Two players may finish with similar point totals while generating offense in completely different situations, but most public stat platforms do not clearly communicate those differences.
Existing analytics tools also tend to prioritize dense tables and raw data over readability and comparative workflows.
Impact Performance was designed to create a more intuitive and visually structured approach to hockey analytics through contextual comparison and interactive visualization systems.
Show how production is generated, not just total outputs.
Allow users to evaluate players side-by-side across multiple contextual dimensions.
Present advanced statistical information through cleaner layouts and stronger hierarchy.
Create reusable UI patterns capable of supporting future analytical tools and expanded datasets.
The player comparison workflow became the foundation of the platform.
Instead of isolated stat pages, the interface was designed around direct side-by-side evaluation using structured comparison cards, contextual metrics, and visual production charts.
The redesigned UI places greater emphasis on:
Readability
Information hierarchy
Team identity
Statistical scanability
Comparative workflows
A major focus of the redesign was improving the clarity of contextual scoring breakdowns.
Rather than separating information into disconnected stat tables, Impact Performance visualizes production through comparative charts that maintain consistent score-state structures across multiple viewing modes.
Users can analyze:
Goals
Primary assists
Secondary assists
Even strength production
Power play production
Shorthanded production
Empty net production
The chart system was designed to help users quickly recognize how player production changes depending on game situations while preserving fast comparison workflows.
As the platform expanded, improving navigation and player discovery became increasingly important.
The search interface was redesigned to provide:
Faster player lookup
Cleaner dropdown organization
Improved readability
Reduced interaction friction
One of the platform’s core analytical features is the Advanced Impact system.
Traditional point totals treat all production equally, but contextual analysis often reveals significant differences in how offense is generated.
The Advanced Impact metric was introduced to better reflect situational scoring value through contextual production analysis.
Strength-based production tracking
Empty net scoring context
Comparative impact evaluation
Contextual offensive analysis
This feature marked an important shift in the project from a traditional stats dashboard toward a more analytical evaluation platform.
The introduction of season-wide Impact leaderboards expanded the platform beyond individual player lookup into broader analytical exploration.
The leaderboard system was designed to support:
Rapid statistical comparison
Clear ranking hierarchy
Team identification
High-density information layouts
Future filtering and sorting systems
This feature significantly broadened the analytical scope of the platform by introducing discovery-oriented workflows and large-scale player evaluation.
Expanding Impact Performance to support goaltender analysis introduced a different evaluation challenge from skaters.
The goalie system extends contextual analysis beyond traditional save percentage by comparing performance across game situations and introducing role-specific Impact metrics.
Contextual save percentage comparison
Goalie-specific Impact and Advanced Impact metrics
Comparative statistical deltas
Unlike season averages alone, this approach highlights how goaltender performance changes depending on game context.
The platform also supports opponent-specific matchup analysis.
Rather than evaluating production only through season totals, users can isolate performance against individual teams to identify matchup trends and contextual strengths.
Opponent-specific production tracking
Long-term contextual analysis
Comparative matchup evaluation
Expanded analytical flexibility
As the project matured, the interface evolved significantly from its original dashboard structure.
The redesign focused heavily on:
Improving visual hierarchy
Reducing interface clutter
Increasing readability
Strengthening consistency
Supporting future scalability
The updated UI reflects a shift from a functional prototype toward a more polished product experience built around comparative analytics and contextual exploration.
A major portion of the project involved building systems capable of accurately classifying contextual hockey events.
This included:
NHL API parsing
Score differential tracking
Strength-state classification
Empty net edge cases
Contextual player attribution
Dynamic chart rendering
Balancing statistical accuracy with interface clarity became one of the defining challenges of the project.
Impact Performance evolved from a personal analytics experiment into a broader product design and sports analytics system.
The project demonstrates:
UI/UX design for complex information systems
Data visualization strategy
Comparative analytics workflows
Front-end implementation
Scalable product thinking
Sports analytics system design
Expanded goalie analytics
Advanced filtering systems
Team-level analysis tools
Improved mobile responsiveness
Expanded contextual metric modeling
Impact Performance was designed as a flexible analytics platform capable of supporting multiple hockey-related workflows across evaluation, storytelling, and engagement.
Player evaluation
Contract and roster analysis
Performance diagnostics
Contextual production assessment
Enhanced player storytelling
Context-driven graphics
Comparative analysis segments
Visual analytics support
Fantasy hockey analysis
Betting and predictive models
Interactive analytics content
Advanced statistical exploration
Impact Performance became an opportunity to combine product design, data visualization, and sports analytics into a single evolving system.
The project reinforced the importance of designing analytical tools that balance statistical depth with usability and clarity.
By treating hockey analytics as a product experience rather than simply a collection of statistics, the platform evolved into a more scalable and user-focused analytical system.