How the player’s qualifying value compares with eligible players in the same research cohort.
Percentile is relative ranking, not the probability of a future hit.DiscoverPlayer Finder
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Football · Discover
Surface the player.
Test the pattern.
Build transparent player rules across leagues, positions and historical samples. StatMindX ranks every match by the evidence that made it qualify.
How to use Player FinderBuild transparent player rules, then use sample coverage and cohort percentiles to understand why each player matched.
- 1
Choose the competitions, season context and position group you want to search.
- 2
Add the statistical rules that define the player pattern you are looking for.
- 3
All rules must pass for a player to appear, so each additional condition narrows the result pool.
- 4
Use minimum sample and complete-data controls to decide how much evidence each rule must have.
- 5
Read each result’s observed evidence and percentile, then open Research before treating the result as meaningful.
Key terms
How comfortably the observed historical value satisfies the rule, together with the amount and completeness of the sample.
Player Finder uses AND logic. Failing any configured rule excludes the player from the result set.
Player Finder is a discovery tool. Use the player research page to inspect the games behind a match before acting on it.
01 · Scope
Choose the player universe
Set the historical season, position group and competitions StatMindX should scan.
PLAYER POOL0 teams0 of 0 competitions selected
02 · Rules
Build the research question
Every condition is evaluated independently. A player appears only when every rule passes.
Quick startsTemplates remain fully editable.
RULE 01Shots on target O0.5 hit rate ≥ 60% · L5 · all venues · all appearances
03 · Data quality
Control the evidence standard
Define how much historical data must support every player rule.