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Phase 9: Archive Analytics — Phase B: Core Analytics #179

@elfensky

Description

@elfensky

Parent: #177

Core Analytics Features

Medium-complexity analytics that require cross-season aggregation or derived computations.

6. Season Report Card

  • What: Composite letter grade (A-F) per season based on weighted formula: event win rate, mission success, player retention, kills efficiency
  • Fields: All h1_live_snapshot aggregates, h1_event outcomes
  • Viz: Large letter grade card, expandable to show individual dimension scores

7. Season Fingerprint (Radar Chart)

  • What: Spider/radar chart comparing seasons across 6 normalized axes: player peak, mission efficiency, defend success rate, friendly fire rate, kill rate, campaign volatility
  • Fields: All h1_live_snapshot per season, h1_snapshot for volatility
  • Viz: Radar chart with season selector/overlay (compare up to 3 seasons)

8. Player Attrition Curve

  • What: Player count decay over season duration — when does the community lose interest? Fit decay curve, compare half-lives across seasons
  • Fields: players, total_unique_players, time, season_duration
  • Viz: Area chart with optional decay curve overlay

9. Momentum Tracker

  • What: Rate-of-change of liberation points per faction. Shows when humanity was pushing vs. being pushed back. Highlight inflection points.
  • Fields: h1_snapshot.data (points/points_taken over time)
  • Viz: Line chart with positive/negative areas (green=pushing, red=losing)

10. Peak Hour Heatmap

  • What: 7-day × 24-hour heatmap of player counts. Overlay event success rates to answer: "Do events during peak hours win more?"
  • Fields: players, time (derived hour/day-of-week), h1_event outcomes
  • Viz: Heatmap grid with tooltip details

Estimates

  • Size: L (8-16h total)
  • Per feature: ~2-4h each
  • Priority: P2

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