Add Statbotics as FRC analytics with EPA predictions

sources/frc/statbotics.md

@@ -0,0 +1,84 @@
+---
+type: data-source
+name: Statbotics
+url: https://www.statbotics.io/
+status: active
+monitoring: continuous
+---
+
+# Statbotics — FRC Data Analytics Platform
+
+**URL:** https://www.statbotics.io/
+**Data Source:** Powered by The Blue Alliance
+**Purpose:** Advanced FRC analytics with EPA (Expected Points Added) ratings
+
+---
+
+## What It Is
+
+Statbotics modernizes FRC data analysis with the **EPA (Expected Points Added)** metric — a highly predictive measure of team performance. Better than OPR or Elo, EPA estimates a team's average scoring contribution to a match.
+
+Open-source, community-built analytics platform.
+
+## EPA Explained
+
+**EPA (Expected Points Added)** estimates how much a team scores in an average match using statistical inputs. It's predictive, not just historical.
+
+Key advantages over older metrics:
+- **Predictive** — tells you what a team will likely do, not just what they did
+- **Interpretable** — clear what the numbers mean
+- **More accurate** — outperforms OPR and Elo for match prediction
+
+## Comparison to TBA
+
+| Feature | The Blue Alliance | Statbotics |
+|---------|-------------------|------------|
+| Raw data | Match results, rankings | Match results, rankings |
+| Primary metric | OPR/CCRM | EPA |
+| Prediction | Basic | Advanced |
+| Visualization | Limited | Rich dashboards |
+| API access | Yes | Yes (REST + Python) |
+
+**Use both together.** TBA for raw data and videos. Statbotics for analysis and prediction.
+
+## Primary Use for 2890
+
+**Team 2890 analytics:**
+- EPA rating over time (improvement tracking)
+- Match prediction (likely score vs opponents)
+- Event analysis (how did we perform vs expected)
+- Comparison to other teams
+
+**Training applications:**
+- Scouting data validation (EPA vs observed performance)
+- Match strategy (what score is realistic against opponent)
+- Team improvement tracking (is 2890 getting better over seasons?)
+- Advanced analytics for students interested in data science
+
+## Key Sections
+
+| Section | Use |
+|---------|-----|
+| Teams | 2890 EPA rating, history, event performance |
+| Events | Regional/off-season analysis |
+| Matches | Predictive match scores |
+| Compare | Head-to-head team comparison |
+| API Docs | Build custom analytics tools |
+
+## Why It's in the Fabric
+
+Statbotics gives 2890 **predictive power** — not just "what happened" but "what will happen." EPA-based predictions help with:
+- Match strategy (set realistic goals vs opponents)
+- Scouting prioritization (which teams are threats)
+- Robot capability benchmarking
+- Season performance trends
+
+**Data-driven decision making** — empirical predictions, not gut feel.
+
+## APIs
+
+Statbotics offers REST and Python APIs for custom analytics. Students learning programming can build tools that pull real FRC data.
+
+---
+
+**Source:** https://www.statbotics.io/