Compute EPA and OPR analytics for FTC team performance and match predictions.
npx skills add https://github.com/ftc8569/ftcmetrics --skill analytics
Please help me install this Agent Skill. Skill: analytics Source: https://github.com/ftc8569/ftcmetrics/tree/main/.claude/skills/analytics Command: npx skills add https://github.com/ftc8569/ftcmetrics --skill analytics
Understand and work with EPA and OPR analytics algorithms in FTC Metrics. Use when calculating team ratings, implementing match predictions, troubleshooting analytics calculations, or understanding the scoring methodology.
Run a local example that feeds sample match data into the EPA and OPR calculators to observe predicted outcomes.
High-intent search queries and answers about installing and using this skill.
OPR (Offensive Power Rating) is calculated by decomposing match scores using linear algebra to isolate each team's offensive contribution, while DPR measures defensive rating. Both are computed alongside EPA to generate comprehensive event rankings.
EPA predicts match outcomes by calculating Expected Points Added for each team, updating ratings after matches, and aggregating individual team metrics to forecast alliance performance and event rankings.
You can validate EPA and OPR analytics methods by running local examples with sample match data, feeding inputs into calculators to observe predicted outcomes and verify rating computation accuracy.
FTC analytics metrics include epa, autoEpa, opr, and dpr. These per-team metrics measure overall expected points added, autonomous scoring contribution, offensive power rating, and defensive power rating for event rankings.
EPA rating errors typically stem from incorrect baseline calculations or malformed match data inputs. Troubleshoot by validating baseline initialization, verifying sample data structure, and debugging analytics methods with known match outcomes.
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