Use Cases¶

See how different users leverage NWSL Data for their specific needs.

For Players & Coaches¶

Performance Analysis¶

"How can I improve my shooting accuracy?"

Using Claude or the web app: - Analyze shot patterns by field position - Compare conversion rates in different game situations - Identify optimal shooting zones and angles - Track improvement over time

Example: "Show me Sophia Smith's shot accuracy from inside vs outside the penalty area, broken down by game pressure situations"

Tactical Preparation¶

"How should we defend against Kansas City Current?"

Using tactical analysis tools: - Study opponent formation patterns - Analyze when teams are most vulnerable - Identify key player movements and tendencies - Plan defensive strategies based on data

Example: "Analyze Kansas City Current's attacking patterns in the final third when they're trailing by 1 goal"

Team Development¶

"Which formations work best for our style of play?"

Using formation analysis: - Compare effectiveness of different tactical setups - Analyze player combinations and chemistry - Study successful teams with similar player profiles - Track formation success rates in various game states

For Fans¶

Game Insights¶

"Why did Portland Thorns win that match?"

Using ChatGPT or web app: - Break down key moments and turning points - Analyze player performances and contributions - Understand tactical decisions that influenced the outcome - Get context on historical head-to-head patterns

Example: "Explain the tactical battle between Portland Thorns and OL Reign in their last match"

Player Comparisons¶

"Who's the best midfielder in NWSL?"

Using any access method: - Compare players across multiple metrics - Understand different playing styles and strengths - See how players perform in clutch situations - Track career progressions and breakout seasons

Example: "Compare Rose Lavelle, Lindsay Horan, and Sam Coffey across passing, defensive actions, and goal contribution"

Historical Analysis¶

"How has the league evolved over the years?"

Using Jupyter notebooks or API: - Analyze trends in playing styles, scoring, tactics - Study the impact of expansion teams - Track how rule changes affected gameplay - Compare different eras of NWSL football

For Analysts & Researchers¶

Advanced Metrics Development¶

"What new insights can we discover from this data?"

Using Jupyter notebooks and API: - Develop expected goals (xG) models - Create player value metrics (VAEP) - Analyze passing networks and team chemistry - Build predictive models for match outcomes

Example: Custom xG model considering defender pressure, shot angle, and game context

Spatial Analysis¶

"How do teams use space differently?"

Using MCP analytics tools: - Study player positioning and movement patterns - Analyze how formations create and exploit space - Map defensive coverage and pressing patterns - Understand tempo and transition effectiveness

Example: "Create heatmaps showing how different teams press in the defensive third"

Temporal Patterns¶

"When are teams most likely to score?"

Using database queries and visualizations: - Analyze goal timing patterns across seasons - Study how momentum shifts during matches - Identify critical periods for scoring and conceding - Map substitution impacts on game flow

For Business & Media¶

Market Analysis¶

"Which teams and players drive the most engagement?"

Using attendance and performance data: - Correlate team performance with attendance figures - Identify breakout players and storylines - Analyze geographic and demographic patterns - Track social media engagement drivers

Example: "How does Portland Thorns' home attendance correlate with their recent signing activity and on-field success?"

Content Creation¶

"What stories should we cover next?"

Using trend analysis: - Identify emerging player narratives - Spot tactical innovations and league evolution - Find compelling statistical storylines - Track playoff races and championship implications

Example: "Find statistical anomalies or record-breaking performances that make for compelling content"

Strategic Planning¶

"How should our team invest in the transfer market?"

Using player analysis and market trends: - Identify undervalued players across different positions - Analyze positional needs and team chemistry - Study successful team building strategies - Model potential impact of different signings

Cross-User Collaboration¶

Coach + Analyst¶

Combine tactical knowledge with data insights to develop game plans and player development strategies.

Fan + Business¶

Use fan engagement data to understand what content and experiences resonate most with the community.

Player + Media¶

Create compelling personal stories backed by performance data and career trajectory analysis.

Researcher + Developer¶

Build new tools and metrics that can benefit the entire NWSL ecosystem.

Ready to explore your use case? Head to Getting Started to choose your access method, or check out the Developers section for technical implementation details.