Phase 9: Archive Analytics — Historic Data Intelligence Features

[elfensky]

Summary

Add rich analytics and stats features to /archives leveraging the historic h1_live_snapshot time-series data. Features are layered: casual players get glanceable summaries, stat nerds get expandable deep dives.

Context

Based on a 4-way AI debate (Claude Opus, Gemini, Sonnet, Codex) analyzing what intel can be derived from the existing snapshot data. Full synthesis: docs/debates/2026-03-30-archive-analytics/synthesis.md

Available Data

• h1_live_snapshot: per-faction, 15-min intervals — players, missions, kills, deaths, accidentals, shots, hits, etc.
• h1_snapshot: campaign state over time (liberation points per faction)
• h1_event + h1_event_snapshot: individual event point progressions
• Multiple seasons of historical data

Feature Phases

Phase A: Quick Wins (Low complexity) — #178

• Friendly Fire Index
• Season Records & Superlatives
• Faction Threat Ranking
• Accuracy Trend
• Shots per Planet

Phase B: Core Analytics (Medium complexity) — #179

• Season Report Card
• Season Fingerprint (radar chart)
• Player Attrition Curve
• Momentum Tracker
• Peak Hour Heatmap

Phase C: Storytelling Features (High complexity) — #180

• Clutch Factor / Last Stand Classifier
• Perfect Storm Detector
• Coordination Paradox
• Planet Heartbeat Waveforms

Key Insight

All 4 AI debate participants independently proposed Friendly Fire Index and Season Fingerprint — these are the highest-confidence features to build first.