A transparent overview of how Winfix Analytics derives, models, and refreshes every statistic surfaced on this platform.
Each player and team is scored through a composite Performance Index that aggregates rolling strike rates, weighted bowling economies, and contextual run-conversion ratios across the most recent 10-match window. Inputs are normalised against historical baselines per format (Test, ODI, T20I) and adjusted for opposition strength before the final 0–100 reading is published.
Pre-match blueprints evaluate venue-specific pitch variation indices, boundary dynamics, dew probability, day–night session splits, and rolling player form. Each blueprint is the output of a deterministic model that combines venue history (last 50 matches), squad composition vectors, and head-to-head series records. Outputs are informational reference points, not predictive guarantees.
The platform operates on a 12-second caching pipeline. Raw scorecards and ball-by-ball events are ingested continuously, normalised in-memory, and pushed through downstream aggregators before being served via the public read layer. Aggregated indices recompute on a rolling micro-batch; historical snapshots are archived nightly for auditability and reproducibility.