Multi-criteria scout filtering uses weighted threshold sliders across multiple metrics to generate a ranked shortlist from a large player database. Rather than computing similarity to a single reference player, it applies minimum thresholds and relative weighting to each metric and returns every player who meets those criteria, ranked by composite score. This is the right tool when you have defined metric requirements but no single reference player — or when you want to see the full range of players who meet a profile rather than the nearest neighbors to one archetype.
Setup: (1) select the position template (striker, CDM, etc.); (2) assign each relevant metric a minimum threshold and a relative importance weight (moving slider right = must have more of this); (3) optionally filter by age range, league coverage, and minutes played floor; (4) run the filter and review the output ranked list with metric breakdowns. The slider position translates to percentile thresholds. Typically use 5-8 metrics — more than 10 creates overfitting to the filter and returns no candidates.
Most recruitment pipelines filter candidates by position first, then evaluate within position. Elite recruitment pipelines filter by game-model skill requirements first, which sometimes surfaces candidates from unexpected positions. A wide midfielder who profiles identically to your game model's fullback requirements — but has never played fullback — is a legitimate candidate that position-first filtering would eliminate. The skill profile is the constraint, not the positional label.