Task-oriented guides for where StatMindX tools live, what the numbers mean, and how to move from a research question to the evidence behind it.
This research view is intentionally nested because it needs both a selected player and a selected upcoming opponent. The guide shows the exact click path from Game Preparation to the Similar Defenses tab.
Start with percentiles, ranks, samples and baselines. These concepts appear across both sports and are the easiest place to misread a result.
Understand the basics →Every guide starts with where to find the feature, then explains how to use and interpret it.
Use the platform as a research workflow: discover a signal, add context, inspect evidence, then validate before drawing a conclusion.
Read relative context and sample size correctly before treating a result as meaningful.
Build a matchup dossier by combining independent team samples, the Matchup Matrix, team profiles and player matchup context.
Compare offensive production with defensive allowance and open the row when you need the game-level evidence behind an average.
Use the player profile and Metric Explorer to move from role and production into context, percentiles and game-level evidence.
Compare two or three teams while preserving each team’s independent sample, venue and phase.
Compare player production, opportunity, efficiency and peer context without reducing the result to a single winner.
Find historical defenses with a statistical profile similar to the upcoming opponent, then inspect how the subject team performed against that cohort.
Start from a specific game and player matchup, then compare the player’s historical production against defenses statistically similar to the upcoming opponent.
Compare whole-game player production when a selected teammate appeared versus games where that teammate did not appear.
Describe the type of upcoming fixture you want to find with transparent historical rules, then inspect why every returned fixture matched.
Build player rules, require enough evidence, then inspect why each player matched before opening deeper research.
Test whether a player or team research rule held up historically using only information that was available before each target game.
Compare a player’s selected form with the player’s season baseline and the upcoming opponent’s defensive allowance, then open the underlying games.
Read shot volume, shooting efficiency, attempt mix and scoring source together, then inspect the game-by-game attempts behind the profile.
Compare a recent L5 or L10 window with the season reference, then inspect opportunity, consistency and the exact game sequence behind the movement.
Use transparent surfacing rules to find team and player patterns worth inspecting, then open the underlying research instead of treating a card as a pick.
Read cards, fouls, threshold rates and recent assignment windows as descriptive officiating context, then inspect the underlying matches.
Save exact research states and reopen them later instead of rebuilding filters, entities and evidence from scratch.
Separate research Insights from gradeable Predictions and use the immutable publication snapshot to understand what was actually shared.
For account or access questions, technical problems, data issues, privacy requests or anything that does not fit a guide, email [email protected].