A hitter can put up good numbers on bad swings, or take great at-bats for a month with nothing to show for it. SIQX scores the at-bat itself — what he swung at, what he let go, how he handled two strikes — and ranks every player in baseball on it. Then it shows you that score next to his actual production, so you can see where the two disagree.
Built from Statcast pitch-by-pitch data. Ten measures for hitters, nine for pitchers, every qualified player, updated daily.
Where a player’s plate decisions and his production disagree, and by how much. These are gaps as they stand today, not forecasts — a hitter can carry one all season.
SIQX v14 scores hitters on ten Statcast behavioral components, each percentile-ranked against all qualified hitters in the current season. Components are selected on behavioral validity only; the scoring and weighting are proprietary.
PSIQX measures what a pitcher forces hitters to do — not raw stuff. Nine behavioral components, each percentile-ranked against all qualified pitchers in the current season. Components are selected on behavioral validity only; the scoring and weighting are proprietary.
The same outcome can result from excellent decisions or poor decisions that happened to work. SIQX identifies which is which — before the results correct.
Full research paper with component definitions, behavioral-validity audit, bullpen separation methodology, validation framework, limitations, and the live pick record. Pick-model selection logic is proprietary and not published.
Working paper covering SIQX v12 (hitters), PSIQX v2 (pitchers), the bullpen model, the validation framework, multi-season validation (2023–2026), and threats to validity. The pick model is described at a high level only — selection logic and thresholds are held privately. Correlations re-derived on 1,447 hitter-seasons and 1,496 pitcher-seasons (PA≥150) after the June 2026 count-split correction.
The same discipline that powers SIQX — identifying signal in behavioral data at scale — is the foundation of my professional work in machine learning systems. SIQX applies that expertise to baseball: measuring not what players do, but how they decide.
Daily pick cards, team analysis, breakout and regression flags, and weekly SIQX reports — all on Twitter.
Follow @SIQXindex →SIQX is still in open validation — every pick is posted publicly, win or lose, and the record is building toward a pre-registered checkpoint. Leave your email and you’ll hear when picks go out by email. No picks are being emailed yet.
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