▐ MLS 2026 — Analytics
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01 · match
Match analysis
Any fixture in the league, event by event. Pass maps, networks, pressure, momentum, shape.
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02 · players
Player fingerprints
Percentile profiles against role, DNA pillars, pitch maps, scatter, scout ranking.
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03 · teams
Team profiles
Style against the league, build-up and pressing, season maps, rankings, squads.
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04 · reference
Metric reference
Every metric defined, how it is calculated, where it sits in the league, and a worked example at each end.
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05 · insights
Scouting insights
Recruitment reads generated from the data: standout profiles by pool, key-man risk, and how each side actually plays.
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06 · sequences
Possession sequences
Every possession chain in the league, searchable by shape and pattern, with similarity across teams.
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07 · search
Player search
Build a shortlist from behavioural traits: position, side, age, foot, and role percentiles within pool.
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08 · guide
Field guide
How every metric is built, how to read the maps, how to build a shortlist, and where the numbers mislead. With tests.
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League
Leaders