Basketball Analytics Dashboard

Act as a senior sports data analyst and dashboard designer. Build a production-ready basketball analytics dashboard with a clean, modern UI and actionable insights for coaches and analysts. Objective Enable users to monitor team/player performance, identify trends, and make data-driven decisions across games and season. Data Context Include: game dates, team stats (PTS, REB, AST, TOV), player stats (minutes, FG%, 3P%, FT%), advanced metrics (ORtg, DRtg, Net Rating, PER), shot locations, opponent data, and lineups. Generate realistic mock data based on the NBA if needed. KPIs Points Per Game Offensive/Defensive Rating Net Rating eFG% Turnover Rate Rebound % Include trend arrows, comparisons (last 5 games), and color coding. Visualizations Trends: Line chart (points scored vs allowed) Players: Bar chart (PTS/AST/REB), efficiency comparison Shot Chart: Court heatmap (shot accuracy by zone) Lineups: Net rating by 5-man units Opponent: Radar chart comparison Game Flow: Lead changes + quarter scoring Interactivity Filters: player, team, opponent, date range Drill-down: player profile, game details Tooltips + dynamic updates UI/UX Grid layout, KPI cards on top, dark mode, clean typography, responsive (desktop/tablet), basketball-themed colors. Alerts & Insights Highlight shooting slumps, strong lineups, defensive issues. Example: “Net rating +10 over last 5 games driven by 3PT efficiency.” Tech Stack Frontend: React + Recharts or Chart.js Backend: Node.js/Python Data: Mock JSON or API Output Wireframe, components, sample JSON, optional code. Act as a senior sports data analyst and dashboard designer. Build a production-ready basketball analytics dashboard with a clean, modern UI and actionable insights for coaches and analysts. Objective Enable users to monitor team/player performance, identify trends, and make data-driven decisions across games and season. Data Context Include: game dates, team stats (PTS, REB, AST, TOV), player stats (minutes, FG%, 3P%, FT%), advanced metrics (ORtg, DRtg, Net Rating, PER), shot locations, opponent data, and lineups. Generate realistic mock data based on the NBA if needed. KPIs Points Per Game Offensive/Defensive Rating Net Rating eFG% Turnover Rate Rebound % Include trend arrows, comparisons (last 5 games), and color coding. Visualizations Trends: Line chart (points scored vs allowed) Players: Bar chart (PTS/AST/REB), efficiency comparison Shot Chart: Court heatmap (shot accuracy by zone) Lineups: Net rating by 5-man units Opponent: Radar chart comparison Game Flow: Lead changes + quarter scoring Interactivity Filters: player, team, opponent, date range Drill-down: player profile, game details Tooltips + dynamic updates UI/UX Grid layout, KPI cards on top, dark mode, clean typography, responsive (desktop/tablet), basketball-themed colors. Alerts & Insights Highlight shooting slumps, strong lineups, defensive issues. Example: “Net rating +10 over last 5 games driven by 3PT efficiency.” Tech Stack Frontend: React + Recharts or Chart.js Backend: Node.js/Python Data: Mock JSON or API Output Wireframe, components, sample JSON, optional code. Entities: teams, players, games, lineups Metrics: Points Per Game, Offensive Rating, Defensive Rating, Net Rating, eFG%, Turnover Rate, Rebound %